11.14.3.5.1 Diffusion for Description or Text to Image Generation

Sun, G.[Gan], Liang, W.Q.[Wen-Qi], Dong, J.H.[Jia-Hua], Li, J.[Jun], Ding, Z.M.[Zheng-Ming], Cong, Y.[Yang],
Create Your World: Lifelong Text-to-Image Diffusion,
PAMI(46), No. 9, September 2024, pp. 6454-6470.
IEEE DOI 2408
Task analysis, Dogs, Computational modeling, Semantics, Training, Neural networks, Continual learning, image generation, stable diffusion BibRef

Chen, H.[Hong], Zhang, Y.P.[Yi-Peng], Wang, X.[Xin], Duan, X.G.[Xu-Guang], Zhou, Y.W.[Yu-Wei], Zhu, W.W.[Wen-Wu],
DisenDreamer: Subject-Driven Text-to-Image Generation With Sample-Aware Disentangled Tuning,
CirSysVideo(34), No. 8, August 2024, pp. 6860-6873.
IEEE DOI 2408
Noise reduction, Visualization, Tuning, Controllability, Image synthesis, Training, Diffusion model, disentangled finetuning BibRef

Verma, A.[Ayushi], Badal, T.[Tapas], Bansal, A.[Abhay],
Advancing Image Generation with Denoising Diffusion Probabilistic Model and ConvNeXt-V2: A novel approach for enhanced diversity and quality,
CVIU(247), 2024, pp. 104077.
Elsevier DOI 2408
Deep learning, Diffusion model, Generative model, Image generation BibRef

Xu, Y.F.[Yi-Fei], Xu, X.L.[Xiao-Long], Gao, H.H.[Hong-Hao], Xiao, F.[Fu],
SGDM: An Adaptive Style-Guided Diffusion Model for Personalized Text to Image Generation,
MultMed(26), 2024, pp. 9804-9813.
IEEE DOI 2410
Feature extraction, Adaptation models, Image synthesis, Computational modeling, Training, Task analysis, Noise reduction, image style similarity assessment BibRef

Ramasinghe, S.[Sameera], Shevchenko, V.[Violetta], Avraham, G.[Gil], Thalaiyasingam, A.[Ajanthan],
Accept the Modality Gap: An Exploration in the Hyperbolic Space,
CVPR24(27253-27262)
IEEE DOI 2410
Text to image, Machine learning, Linear programming, multimodal learning, modality gap BibRef

Luo, Y.M.[Yi-Min], Yang, Q.[Qinyu], Fan, Y.H.[Yu-Heng], Qi, H.K.[Hai-Kun], Xia, M.[Menghan],
Measurement Guidance in Diffusion Models: Insight from Medical Image Synthesis,
PAMI(46), No. 12, December 2024, pp. 7983-7997.
IEEE DOI 2411
Task analysis, Medical diagnostic imaging, Uncertainty, Image synthesis, Training, Reliability, Data models, controllable generation BibRef

Ren, J.X.[Jia-Xin], Liu, W.Z.[Wan-Zeng], Chen, J.[Jun], Yin, S.X.[Shun-Xi], Tao, Y.[Yuan],
Word2Scene: Efficient remote sensing image scene generation with only one word via hybrid intelligence and low-rank representation,
PandRS(218), 2024, pp. 231-257.
Elsevier DOI Code:
WWW Link. 2412
Award, U.V. Helava, ISPRS. Intelligentized surveying and mapping, Hybrid intelligence, Remote sensing image scene generation, Diffusion models, Zero-shot learning BibRef

Zhou, D.[Dewei], Li, Y.[You], Ma, F.[Fan], Yang, Z.X.[Zong-Xin], Yang, Y.[Yi],
MIGC++: Advanced Multi-Instance Generation Controller for Image Synthesis,
PAMI(47), No. 3, March 2025, pp. 1714-1728.
IEEE DOI 2502
Benchmark testing, Training, Layout, Text to image, Iterative algorithms, Position control, Pipelines, Image synthesis, multimodal learning BibRef

Zhou, D.[Dewei], Li, Y.[You], Ma, F.[Fan], Zhang, X.T.[Xiao-Ting], Yang, Y.[Yi],
MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis,
CVPR24(6818-6828)
IEEE DOI Code:
WWW Link. 2410
Codes, Attention mechanisms, Aggregates, Pipelines, Layout, Text to image, AIGC, Diffusion Models, Image Generation, Stable Diffusion BibRef

Dall'Asen, N.[Nicola], Menapace, W.[Willi], Peruzzo, E.[Elia], Sangineto, E.[Enver], Wang, Y.M.[Yi-Ming], Ricci, E.[Elisa],
Collaborative Neural Painting,
CVIU(252), 2025, pp. 104298.
Elsevier DOI 2502
Neural painting, Collaborative, interactive, Diffusion Models BibRef

Wang, Z.C.[Zhi-Cai], Li, O.X.[Ou-Xiang], Wang, T.[Tan], Wei, L.H.[Long-Hui], Hao, Y.B.[Yan-Bin], Wang, X.[Xiang], Tian, Q.[Qi],
Prior Preserved Text-to-Image Personalization Without Image Regularization,
CirSysVideo(35), No. 2, February 2025, pp. 1318-1330.
IEEE DOI 2502
Dogs, Semantics, Visualization, Diffusion models, Text to image, Training, Noise reduction, Reliability, dreambooth BibRef

Ridley, H.[Henrietta], Alcover-Couso, R.[Roberto], SanMiguel, J.C.[Juan C.],
Controlling semantics of diffusion-augmented data for unsupervised domain adaptation,
IET-CV(19), No. 1, 2025, pp. e70002.
DOI Link Code:
WWW Link. 2502
image segmentation, unsupervised learning BibRef

Xiao, G.X.[Guang-Xuan], Yin, T.W.[Tian-Wei], Freeman, W.T.[William T.], Durand, F.[Frédo], Han, S.[Song],
FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention,
IJCV(133), No. 3, March 2025, pp. 1175-1194.
Springer DOI 2502
Code:
WWW Link. BibRef

Ji, J.Y.[Jia-Yi], Wang, H.[Haowei], Wu, C.L.[Chang-La], Ma, Y.W.[Yi-Wei], Sun, X.S.[Xiao-Shuai], Ji, R.R.[Rong-Rong],
JM3D and JM3D-LLM: Elevating 3D Representation With Joint Multi-Modal Cues,
PAMI(47), No. 4, April 2025, pp. 2475-2492.
IEEE DOI 2503
Solid modeling, Point cloud compression, Visualization, Representation learning, Feature extraction, structured multimodal organizer BibRef

Yang, D.[Danni], Dong, R.H.[Ruo-Han], Ji, J.Y.[Jia-Yi], Ma, Y.W.[Yi-Wei], Wang, H.[Haowei], Sun, X.S.[Xiao-Shuai], Ji, R.R.[Rong-Rong],
Exploring Phrase-level Grounding with Text-to-image Diffusion Model,
ECCV24(LIII: 161-180).
Springer DOI 2412
BibRef

Nwoye, C.I.[Chinedu Innocent], Bose, R.[Rupak], Elgohary, K.[Kareem], Arboit, L.[Lorenzo], Carlino, G.[Giorgio], Lavanchy, J.L.[Joël L.], Mascagni, P.[Pietro], Padoy, N.[Nicolas],
Surgical text-to-image generation,
PRL(190), 2025, pp. 73-80.
Elsevier DOI 2503
Surgical image synthesis, Text-to-image, Diffusion model, Large language model, Surgical action triplet BibRef

Marí, R.[Roger], Redondo, R.[Rafael],
Latent Diffusion Approaches for Conditional Generation of Aerial Imagery: A Study,
IPOL(15), 2025, pp. 20-31.
DOI Link 2503
BibRef

Wang, W.L.[Wei-Lun], Bao, J.M.[Jian-Min], Zhou, W.G.[Wen-Gang], Chen, D.D.[Dong-Dong], Chen, D.[Dong], Yuan, L.[Lu], Li, H.Q.[Hou-Qiang],
SinDiffusion: Learning a Diffusion Model from a Single Natural Image,
PAMI(47), No. 5, May 2025, pp. 3412-3423.
IEEE DOI 2504
Diffusion models, Image synthesis, Training, Noise reduction, Periodic structures, Translation, Mathematical models, Art, Noise, image manipulation BibRef

Kim, J.[Jisoo], Kang, J.[Jiwoo], Kim, T.[Taewan], Oh, H.[Heeseok],
SinWaveFusion: Learning a single image diffusion model in wavelet domain,
IVC(159), 2025, pp. 105551.
Elsevier DOI 2505
Single image generation, Denoising diffusion models, Wavelet transform BibRef

Ma, H.Y.[Heng-Yuan], Zhu, X.T.[Xia-Tian], Feng, J.F.[Jian-Feng], Zhang, L.[Li],
Preconditioned Score-Based Generative Models,
IJCV(133), No. 7, July 2025, pp. 4837-4863.
Springer DOI 2506
BibRef
Earlier: A1, A4, A2, A3:
Accelerating Score-Based Generative Models with Preconditioned Diffusion Sampling,
ECCV22(XXIII:1-16).
Springer DOI 2211
BibRef

Huang, Y.W.[Ya-Wen], Huang, H.M.[Hui-Min], Zheng, H.[Hao], Li, Y.X.[Yue-Xiang], Zheng, F.[Feng], Zhen, X.T.[Xian-Tong], Zheng, Y.F.[Ye-Feng],
Learning to Generalize Heterogeneous Representation for Cross-Modality Image Synthesis via Multiple Domain Interventions,
IJCV(133), No. 7, July 2025, pp. 4727-4748.
Springer DOI 2506
BibRef

Xie, J.H.[Jin-Heng], Li, Y.X.[Yue-Xiang], Huang, Y.W.[Ya-Wen], Liu, H.Z.[Hao-Zhe], Zhang, W.T.[Wen-Tian], Zheng, Y.F.[Ye-Feng], Shou, M.Z.[Mike Zheng],
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion,
ICCV23(7418-7427)
IEEE DOI 2401
BibRef

Zhao, R.[Ruoyu], Zhu, M.R.[Ming-Rui], Dong, S.Y.[Shi-Yin], Cheng, D.[De], Wang, N.N.[Nan-Nan], Gao, X.B.[Xin-Bo],
CatVersion: Concatenating Embeddings for Diffusion-Based Text-to-Image Personalization,
CirSysVideo(35), No. 6, June 2025, pp. 6047-6058.
IEEE DOI 2506
Diffusion models, Image synthesis, Dogs, Text to image, Image restoration, Training, Noise reduction, few-shot learning BibRef

Duan, H.R.[Hao-Ran], Shao, S.[Shuai], Zhai, B.[Bing], Shah, T.[Tejal], Han, J.G.[Jun-Gong], Ranjan, R.[Rajiv],
Parameter Efficient Fine-Tuning for Multi-modal Generative Vision Models with Möbius-Inspired Transformation,
IJCV(133), No. 7, July 2025, pp. 4590-4603.
Springer DOI 2506
BibRef
And: Correction: IJCV(133), No. 9, September 2025, pp. 6637-6637.
Springer DOI 2509
BibRef

Wang, B.[Bingyuan], Chen, Q.F.[Qi-Feng], Wang, Z.[Zeyu],
Diffusion-Based Visual Art Creation: A Survey and New Perspectives,
Surveys(57), No. 10, May 2025, pp. xx-yy.
DOI Link 2507
Survey, Art Creation. Survey, Diffusion. AI-generated content, diffusion model, visual art, creativity, human-AI collaboration BibRef

Wu, W.J.[Wei-Jia], Li, Z.[Zhuang], He, Y.F.[Ye-Fei], Shou, M.Z.[Mike Zheng], Shen, C.H.[Chun-Hua], Cheng, L.[Lele], Li, Y.[Yan], Gao, T.T.[Ting-Ting], Zhang, D.[Di],
Paragraph-to-Image Generation with Information-Enriched Diffusion Model,
IJCV(133), No. 8, August 2025, pp. 5413-5434.
Springer DOI Code:
WWW Link. 2508
Longer descriptions. BibRef

Hunter, R.[Rosco], Dudziak, L.[Lukasz], Abdelfattah, M.S.[Mohamed S.], Mehrotra, A.[Abhinav], Bhattacharya, S.[Sourav], Wen, H.K.[Hong-Kai],
Fast Sampling Through The Reuse Of Attention Maps In Diffusion Models,
IJCV(133), No. 9, September 2025, pp. 6422-6431.
Springer DOI 2509
BibRef

Wei, Y.L.[Yan-Lei], Zhang, X.L.[Xiao-Lin], Wang, Y.P.[Yong-Ping], Wang, J.Y.[Jing-Yu], Hu, W.J.[Wei-Jian],
Enhancing Transferability via Spectral Alignment and Grad-CAM Guided Latent Diffusion Models,
SPLetters(32), 2025, pp. 3260-3264.
IEEE DOI 2509
Noise, Discrete cosine transforms, Discrete Fourier transforms, Diffusion models, Perturbation methods, Image reconstruction, control-VAE BibRef

Mao, F.Y.[Fang-Yuan], Mei, J.L.[Ji-Lin], Lu, S.[Shun], Liu, F.[Fuyang], Chen, L.[Liang], Zhao, F.Z.[Fang-Zhou], Hu, Y.[Yu],
PID: Physics-Informed Diffusion Model for Infrared Image Generation,
PR(169), 2026, pp. 111816.
Elsevier DOI Code:
WWW Link. 2509
Physical constraints, Diffusion model, Infrared image generation BibRef

Lin, Z.H.[Zhi-Hang], Lin, M.[Mingbao], Zhan, W.[Wengyi], Ji, R.R.[Rong-Rong],
AccDiffusion v2: Toward More Accurate Higher-Resolution Diffusion Extrapolation,
PAMI(47), No. 10, October 2025, pp. 8351-8363.
IEEE DOI 2510
Image resolution, Distortion, Training, Semantics, Noise reduction, Image synthesis, Extrapolation, Diffusion models, diffusion model BibRef

Wu, H.X.[Hao-Xuan], Po, L.M.[Lai-Man], Xu, X.[Xuyuan], Li, K.[Kun], Liu, Y.Y.[Yu-Yang], Jiang, Z.[Zeyu],
Comprehensive regional guidance for attention map semantics in text-to-image diffusion models,
CVIU(260), 2025, pp. 104492.
Elsevier DOI 2510
Diffusion models, Text-to-image generation BibRef

Huang, Y.S.[Yu-Shi], Gong, R.[Ruihao], Liu, X.L.[Xiang-Long], Liu, J.[Jing], Li, Y.H.[Yu-Hang], Lu, J.W.[Ji-Wen], Tao, D.C.[Da-Cheng],
Temporal Feature Matters: A Framework for Diffusion Model Quantization,
PAMI(47), No. 10, October 2025, pp. 8823-8837.
IEEE DOI 2510
Diffusion models, Quantization (signal), Maintenance, Noise reduction, Computational modeling, Training, Calibration, hardware acceleration BibRef

Gan, Y.[Yan], Xiao, X.Y.[Xin-Yao], Xiang, T.[Tao], Wu, C.Q.[Cheng-Qian], Ouyang, D.Q.[De-Qiang],
SFCM-AEG: Source-Free Cross-Modal Adversarial Example Generation,
MultMed(27), 2025, pp. 6262-6272.
IEEE DOI 2510
Semantics, Text to image, Diffusion models, Perturbation methods, Glass box, Training, Image restoration, Faces, source-free BibRef

Shi, Q.Y.[Qing-Yu], Qi, L.[Lu], Wu, J.[Jianzong], Bai, J.[Jinbin], Wang, J.B.[Jing-Bo], Tong, Y.H.[Yun-Hai], Li, X.T.[Xiang-Tai],
DreamRelation: Bridging Customization and Relation Generation,
CVPR25(15723-15732)
IEEE DOI 2508
Image synthesis, Training data, Text to image, Focusing, Benchmark testing, Diffusion models, Scenario generation, Engines BibRef

Ma, X.[Xinyin], Yu, R.[Runpeng], Liu, S.[Songhua], Fang, G.[Gongfan], Wang, X.C.[Xin-Chao],
Diffusion Model is Effectively Its Own Teacher,
CVPR25(12901-12911)
IEEE DOI 2508
Image quality, Computational modeling, Text to image, Diffusion models, Transformers, Lenses BibRef

Chu, B.[Beilin], Xu, X.[Xuan], Wang, X.[Xin], Zhang, Y.F.[Yu-Fei], You, W.[Weike], Zhou, L.[Linna],
FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error,
CVPR25(12830-12839)
IEEE DOI 2508
Training, Image synthesis, Perturbation methods, Diffusion models, Feature extraction, Robustness, Image reconstruction, Standards BibRef

Li, S.[Shufan], Kallidromitis, K.[Konstantinos], Gokul, A.[Akash], Liao, Z.[Zichun], Kato, Y.[Yusuke], Kozuka, K.[Kazuki], Grover, A.[Aditya],
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows,
CVPR25(13178-13188)
IEEE DOI Code:
WWW Link. 2508
Radio frequency, Adaptation models, Codes, Attention mechanisms, Computational modeling, Text to image, Transformers, text-to-image, diffusion transformer BibRef

Kim, E.[Eunji], Kim, S.[Siwon], Park, M.[Minjun], Entezari, R.[Rahim], Yoon, S.[Sungroh],
Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion,
CVPR25(13361-13370)
IEEE DOI 2508
Training, Image synthesis, Computational modeling, Noise, Semantics, Text to image, Focusing, Robustness, bias, text-to-image generation, fairness BibRef

Xia, M.F.[Meng-Fei], Xue, N.[Nan], Shen, Y.J.[Yu-Jun], Yi, R.[Ran], Gong, T.[Tieliang], Liu, Y.J.[Yong-Jin],
Rectified Diffusion Guidance for Conditional Generation,
CVPR25(13371-13380)
IEEE DOI Code:
WWW Link. 2508
Closed-form solutions, Codes, Noise reduction, Toy manufacturing industry, Diffusion processes BibRef

Wang, Z.X.[Zi-Xuan], Peng, D.[Duo], Chen, F.[Feng], Yang, Y.W.[Yu-Wei], Lei, Y.J.[Yin-Jie],
Training-free Dense-Aligned Diffusion Guidance for Modular Conditional Image Synthesis,
CVPR25(13135-13145)
IEEE DOI Code:
WWW Link. 2508
Geometry, Visualization, Solid modeling, Image synthesis, Foundation models, Layout, Virtual reality, Trajectory, Rivers BibRef

Jia, W.N.[Wei-Nan], Huang, M.Q.[Meng-Qi], Chen, N.[Nan], Zhang, L.[Lei], Mao, Z.D.[Zhen-Dong],
D2iT: Dynamic Diffusion Transformer for Accurate Image Generation,
CVPR25(12860-12870)
IEEE DOI Code:
WWW Link. 2508
Image coding, Codes, Image recognition, Accuracy, Image synthesis, Scalability, Noise, Diffusion processes, Transformers, dynamic coding BibRef

Hu, Z.J.[Zi-Jing], Zhang, F.[Fengda], Chen, L.[Long], Kuang, K.[Kun], Li, J.H.[Jia-Hui], Gao, K.[Kaifeng], Xiao, J.[Jun], Wang, X.[Xin], Zhu, W.W.[Wen-Wu],
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards,
CVPR25(23604-23614)
IEEE DOI 2508
Training, Codes, Noise reduction, Text to image, Reinforcement learning, Diffusion models, Optimization BibRef

Ren, J.[Jie], Chen, K.[Kangrui], Cui, Y.Q.[Ying-Qian], Zeng, S.[Shenglai], Liu, H.[Hui], Xing, Y.[Yue], Tang, J.[Jiliang], Lyu, L.[Lingjuan],
Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models,
CVPR25(28769-28778)
IEEE DOI 2508
Measurement, Text to image, Benchmark testing, Diffusion models, Faces, Context modeling BibRef

Huang, H.[Huayang], Jin, X.[Xiangye], Miao, J.X.[Jia-Xu], Wu, Y.[Yu],
Implicit Bias Injection Attacks against Text-to-Image Diffusion Models,
CVPR25(28779-28789)
IEEE DOI 2508
Visualization, Image color analysis, Generative AI, Prevention and mitigation, Semantics, Text to image, generative bias BibRef

Wang, L.F.[Li-Fu], Liu, D.Q.[Da-Qing], Liu, X.C.[Xin-Chen], He, X.D.[Xiao-Dong],
Scaling Down Text Encoders of Text-to-Image Diffusion Models,
CVPR25(18424-18433)
IEEE DOI Code:
WWW Link. 2508
Image quality, Computational modeling, Semantics, Redundancy, Natural languages, Text to image, Graphics processing units, text-representation BibRef

Ye, Z.[Zilyu], Chen, Z.Y.[Zhi-Yang], Li, T.C.[Tian-Cheng], Huang, Z.[Zemin], Luo, W.J.[Wei-Jian], Qi, G.J.[Guo-Jun],
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation,
CVPR25(23412-23422)
IEEE DOI 2508
Image quality, Schedules, Image synthesis, Noise reduction, Noise, Text to image, Reinforcement learning, Diffusion models, Noise level BibRef

Qiu, W.M.[Wei-Min], Wang, J.[Jieke], Tang, M.[Meng],
Self-Cross Diffusion Guidance for Text-to-Image Synthesis of Similar Subjects,
CVPR25(23528-23538)
IEEE DOI 2508
Image synthesis, Text to image, Diffusion models, Transformers, Birds, Reliability, Videos, guidance, similar subjects, diffusion model BibRef

Wang, C.[Chao], Fan, H.[Hehe], Yang, H.[Huichen], Karimi, S.[Sarvnaz], Yao, L.[Lina], Yang, Y.[Yi],
Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration,
CVPR25(23539-23550)
IEEE DOI 2508
Degradation, Training, Adaptation models, Translation, Pipelines, Noise, Text to image, Feature extraction, Image restoration BibRef

Liu, Y.P.[Yun-Peng], Liu, B.X.[Bo-Xiao], Zhang, Y.[Yi], Hou, X.Z.[Xing-Zhong], Song, G.L.[Guang-Lu], Liu, Y.[Yu], You, H.[Haihang],
See Further When Clear: Curriculum Consistency Model,
CVPR25(18103-18112)
IEEE DOI 2508
Training, Adaptation models, Schedules, PSNR, Computational modeling, Noise, Semantics, Text to image, Diffusion models, Pattern matching BibRef

Lee, B.H.[Byung Hyun], Lim, S.[Sungjin], Chun, S.Y.[Se Young],
Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation,
CVPR25(18596-18606)
IEEE DOI Code:
WWW Link. 2508
Training, Art, Codes, Image synthesis, Text to image, Logic gates, Diffusion models, Robustness, text-to image diffusion models, gated low-rank adaptation BibRef

Jang, S.[Sangwon], Choi, J.S.[June Suk], Jo, J.[Jaehyeong], Lee, K.[Kimin], Hwang, S.J.[Sung Ju],
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models,
CVPR25(8203-8212)
IEEE DOI Code:
WWW Link. 2508
Measurement, Visualization, Brand management, Text to image, Training data, Symbols, Diffusion models, Market research, data poisoning BibRef

Wang, Z.L.[Zi-Lan], Guo, J.F.[Jun-Feng], Zhu, J.C.[Jia-Cheng], Li, Y.M.[Yi-Ming], Huang, H.[Heng], Chen, M.[Muhao], Tu, Z.Z.[Zheng-Zhong],
SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models,
CVPR25(8213-8224)
IEEE DOI Code:
WWW Link. 2508
Training, Adaptation models, Computational modeling, Semantics, Text to image, Watermarking, Diffusion models, Robustness, ownership verification BibRef

Duan, L.[Lunhao], Zhao, S.S.[Shan-Shan], Yan, W.J.[Wen-Jun], Li, Y.[Yinglun], Chen, Q.G.[Qing-Guo], Xu, Z.[Zhao], Luo, W.H.[Wei-Hua], Zhang, K.[Kaifu], Gong, M.M.[Ming-Ming], Xia, G.S.[Gui-Song],
UNIC-Adapter: Unified Image-Instruction Adapter with Multi-Modal Transformer for Image Generation,
CVPR25(7963-7973)
IEEE DOI 2508
Adaptation models, Image synthesis, Layout, Text to image, Transformers, Diffusion models, Data mining BibRef

Cao, C.J.[Chen-Jie], Yu, C.H.[Chao-Hui], Liu, S.[Shang], Wang, F.[Fan], Xue, X.Y.[Xiang-Yang], Fu, Y.W.[Yan-Wei],
MVGenMaster: Scaling Multi-View Generation from Any Image via 3D Priors Enhanced Diffusion Model,
CVPR25(6045-6056)
IEEE DOI 2508
Measurement, Training, Scalability, Computational modeling, Pipelines, Diffusion models, Cameras, diffusion model, novel view synthesis BibRef

Pan, S.[Shuokai], Tuzi, G.[Gerti], Sreeram, S.[Sudarshan], Gope, D.[Dibakar],
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales,
CVPR25(4091-4100)
IEEE DOI 2508
Quantization (signal), Costs, Accuracy, Convolution, Training data, Text to image, Diffusion models, Kernel, Usability BibRef

Dombrowski, M.[Mischa], Zhang, W.T.[Wei-Tong], Cechnicka, S.[Sarah], Reynaud, H.[Hadrien], Kainz, B.[Bernhard],
Image Generation Diversity Issues and How to Tame Them,
CVPR25(3029-3039)
IEEE DOI Code:
WWW Link. 2508
Measurement, Image quality, Current measurement, Image retrieval, Training data, Feature extraction, Diffusion models, Data models, Synthetic data BibRef

Wang, X.[Xi], Li, H.Z.[Hong-Zhen], Fang, H.[Heng], Peng, Y.C.[Yi-Chen], Xie, H.R.[Hao-Ran], Yang, X.[Xi], Li, C.T.[Chun-Tao],
LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model,
CVPR25(2912-2923)
IEEE DOI Code:
WWW Link. 2508
Training, Visualization, Accuracy, Translation, Image synthesis, Semantics, Rendering (computer graphics), Painting, prolines dataset BibRef

Kwon, M.[Mingi], Kim, S.S.[Shin Seong], Jeong, J.[Jaeseok], Hsiao, Y.T.[Yi Ting], Uh, Y.[Youngjung],
TCFG: Tangential Damping Classifier-free Guidance,
CVPR25(2620-2629)
IEEE DOI 2508
Manifolds, Image quality, Image synthesis, Refining, Text to image, Diffusion models, Vectors, Trajectory, Singular value decomposition BibRef

Wu, B.[Bin], Shi, W.[Wuxuan], Wang, J.Q.[Jin-Qiao], Ye, M.[Mang],
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models,
CVPR25(2813-2823)
IEEE DOI 2508
Adaptation models, Data privacy, Text to image, Diffusion models, Data models, Synthetic data, vision-language model BibRef

Zhang, X.[Xiao], Jiang, R.X.[Ruo-Xi], Willett, R.[Rebecca], Maire, M.[Michael],
Nested Diffusion Models Using Hierarchical Latent Priors,
CVPR25(2502-2512)
IEEE DOI 2508
Image quality, Dimensionality reduction, Visualization, Image synthesis, Computational modeling, Scalability, Semantics BibRef

Jeong, J.H.[Jin-Ho], Han, S.[Sangmin], Kim, J.[Jinwoo], Kim, S.J.[Seon Joo],
Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models,
CVPR25(2355-2365)
IEEE DOI Code:
WWW Link. 2508
Manifolds, Training, Hands, Image synthesis, RNA, Face recognition, Noise, Diffusion models, super-resolution BibRef

Srivatsan, K.[Koushik], Shamshad, F.[Fahad], Naseer, M.[Muzammal], Patel, V.M.[Vishal M.], Nandakumar, K.[Karthik],
STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models,
CVPR25(23765-23774)
IEEE DOI 2508
Training, Systematics, Text to image, Benchmark testing, Diffusion models, Robustness, Security, Object recognition, Glass box BibRef

Miao, B.M.[Bo-Ming], Li, C.X.[Chun-Xiao], Wang, X.X.[Xiao-Xiao], Zhang, A.[Andi], Sun, R.[Rui], Wang, Z.Z.[Zi-Zhe], Zhu, Y.[Yao],
Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image Synthesis,
CVPR25(23575-23584)
IEEE DOI 2508
Visualization, Semantics, Noise, Text to image, Diffusion processes, Diffusion models, Question answering (information retrieval), text-to-image synthesis BibRef

Cha, S.[Seung_Ju], Lee, K.[Kwanyoung], Kim, Y.C.[Ye-Chan], Oh, H.W.[Hyun-Woo], Kim, D.J.[Dong-Jin],
VerbDiff: Text-Only Diffusion Models with Enhanced Interaction Awareness,
CVPR25(8041-8050)
IEEE DOI 2508
Accuracy, Computational modeling, Semantics, Text to image, Diffusion models, Photorealistic images BibRef

Dang, M.[Meihua], Singh, A.[Anikait], Zhou, L.Q.[Lin-Qi], Ermon, S.[Stefano], Song, J.M.[Jia-Ming],
Personalized Preference Fine-tuning of Diffusion Models,
CVPR25(8020-8030)
IEEE DOI 2508
Bridges, Text to image, Diffusion models, Optimization, text-to-image diffusion models, dpo, personalized preference fine-tuning BibRef

Li, S.M.[Sen-Mao], Wang, L.[Lei], Wang, K.[Kai], Liu, T.[Tao], Xie, J.[Jiehang], van de Weijer, J.[Joost], Khan, F.S.[Fahad Shahbaz], Yang, S.Q.[Shi-Qi], Wang, Y.X.[Ya-Xing], Yang, J.[Jian],
One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models,
CVPR25(23563-23574)
IEEE DOI Code:
WWW Link. 2508
Image quality, Image synthesis, Computational modeling, Semantics, Noise, Text to image, Diffusion models, Decoding, Time complexity, one-step generation BibRef

Li, Z.J.[Zi-Jie], Li, H.[Henry], Shi, Y.C.[Yi-Chun], Farimani, A.B.[Amir Barati], Kluger, Y.[Yuval], Yang, L.J.[Lin-Jie], Wang, P.[Peng],
Dual Diffusion for Unified Image Generation and Understanding,
CVPR25(2779-2790)
IEEE DOI 2508
Visualization, Maximum likelihood estimation, Image synthesis, Computational modeling, Text to image, Predictive models, BibRef

Thakral, K.[Kartik], Glaser, T.[Tamar], Hassner, T.[Tal], Vatsa, M.[Mayank], Singh, R.[Richa],
Fine-Grained Erasure in Text-To-Image Diffusion-Based Foundation Models,
CVPR25(9121-9130)
IEEE DOI 2508
Manifolds, Foundation models, Computational modeling, Semantics, Text to image, Dogs, Flowering plants, Diffusion models, unlearning, diffusion BibRef

Le, D.H.[Duong H.], Pham, T.[Tuan], Lee, S.H.[Sang-Ho], Clark, C.[Christopher], Kembhavi, A.[Aniruddha], Mandt, S.[Stephan], Krishna, R.[Ranjay], Lu, J.[Jiasen],
One Diffusion to Generate Them All,
CVPR25(2671-2682)
IEEE DOI Code:
WWW Link. 2508
Training, Vocabulary, Depth measurement, Semantic segmentation, Scalability, Pose estimation, Semantics, Text to image, Cameras, multiview-generation BibRef

Bernal-Berdun, E.[Edurne], Serrano, A.[Ana], Masia, B.[Belen], Gadelha, M.[Matheus], Hold-Geoffroy, Y.[Yannick], Sun, X.[Xin], Gutierrez, D.[Diego],
PreciseCam: Precise Camera Control for Text-to-Image Generation,
CVPR25(2724-2733)
IEEE DOI 2508
Geometry, Text to image, Cameras, Distortion, Prompt engineering, Videos, Lenses BibRef

Liu, Q.H.[Qi-Hao], Yin, X.[Xi], Yuille, A.L.[Alan L.], Brown, A.[Andrew], Singh, M.[Mannat],
Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution,
CVPR25(2755-2765)
IEEE DOI 2508
Training, Gaussian noise, Superresolution, Text to image, Media, Diffusion models, Transformers, Standards, Pattern matching, flow matching BibRef

Parihar, R.[Rishubh], Agrawal, V.[Vaibhav], VS, S.[Sachidanand], Babu, R.V.[R. Venkatesh],
Compass Control: Multi Object Orientation Control for Text-to-Image Generation,
CVPR25(2791-2801)
IEEE DOI 2508
Training, Solid modeling, Position control, Text to image, Diffusion models, Compass, Synthetic data, generative models, 3d control BibRef

Jiang, J.X.[Jia-Xiu], Zhang, Y.[Yabo], Feng, K.[Kailai], Wu, X.H.[Xiao-He], Li, W.B.[Wen-Bo], Pei, R.[Renjing], Li, F.[Fan], Zuo, W.M.[Wang-Meng],
MC2: Multi-concept Guidance for Customized Multi-concept Generation,
CVPR25(2802-2812)
IEEE DOI Code:
WWW Link. 2508
Adaptation models, Visualization, Computational modeling, Refining, Text to image, Interference, Optimization BibRef

Shimoda, W.[Wataru], Inoue, N.[Naoto], Haraguchi, D.[Daichi], Mitani, H.[Hayato], Uchida, S.[Seiichi], Yamaguchi, K.[Kota],
Type-R: Automatically Retouching Typos for Text-to-Image Generation,
CVPR25(2745-2754)
IEEE DOI 2508
Image quality, Training, Accuracy, Computational modeling, Face recognition, Pipelines, Text to image, graphic design BibRef

Schusterbauer, J.[Johannes], Gui, M.[Ming], Fundel, F.[Frank], Ommer, B.[Björn],
Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment,
CVPR25(28347-28357)
IEEE DOI Code:
WWW Link. 2508
Training, Frequency modulation, Computational modeling, Biological system modeling, Text to image, Performance gain, diffusion BibRef

Han, J.[Jiyeon], Kwon, D.[Dahee], Lee, G.[Gayoung], Kim, J.[Junho], Choi, J.[Jaesik],
Enhancing Creative Generation on Stable Diffusion-based Models,
CVPR25(28609-28618)
IEEE DOI 2508
Computational modeling, Catalysts, Noise reduction, Text to image, Diffusion models, Creativity, Optimization, Guidelines, stable diffusion BibRef

Sehwag, V.[Vikash], Kong, X.H.[Xiang-Hao], Li, J.T.[Jing-Tao], Spranger, M.[Michael], Lyu, L.[Lingjuan],
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget,
CVPR25(28596-28608)
IEEE DOI Code:
WWW Link. 2508
Training, Costs, Biological system modeling, Computational modeling, Pipelines, Text to image, Transformers, low-cost ai BibRef

Lu, Y.H.[Yun-Hong], Wang, Q.C.[Qi-Chao], Cao, H.[Hengyuan], Wang, X.[Xierui], Xu, X.Y.[Xiao-Yin], Zhang, M.[Min],
InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment,
CVPR25(28629-28639)
IEEE DOI 2508
Training, Correlation, Large language models, Text to image, Focusing, Diffusion models, Data models, Reliability, Optimization BibRef

Tang, B.[Bingda], Zheng, B.Y.[Bo-Yang], Paul, S.[Sayak], Xie, S.[Saining],
Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis,
CVPR25(28586-28595)
IEEE DOI 2508
Training, Uncertainty, Large language models, System performance, Design methodology, Noise reduction, Text to image, Transformers, Guidelines BibRef

Lin, H.B.[Hong-Bin], Guo, Z.[Zilu], Zhang, Y.F.[Yi-Fan], Niu, S.C.[Shuai-Cheng], Li, Y.F.[Ya-Feng], Zhang, R.[Ruirnao], Cui, S.G.[Shu-Guang], Li, Z.[Zhen],
DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation,
CVPR25(27497-27507)
IEEE DOI 2508
Geometry, Training, Solid modeling, Accuracy, Layout, Text to image, Training data, Feature extraction, Robustness, autonomous driving, training-free controllable diffusion generation BibRef

Zhang, X.X.[Xin-Xi], Wen, S.[Song], Han, L.[Ligong], Juefei-Xu, F.[Felix], Srivastava, A.[Akash], Huang, J.Z.[Jun-Zhou], Pavlovic, V.[Vladimir], Wang, H.[Hao], Tao, M.[Molei], Metaxas, D.N.[Dimitris N.],
SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models,
WACV25(4665-4682)
IEEE DOI 2505
Adaptation models, Computational modeling, Text to image, Diffusion models, Vectors, Computational efficiency, Matrix decomposition BibRef

Zeng, Y.[Yan], Suganuma, M.[Masanori], Okatani, T.[Takayuki],
Inverting the Generation Process of Denoising Diffusion Implicit Models: Empirical Evaluation and a Novel Method,
WACV25(4516-4524)
IEEE DOI 2505
Measurement, Accuracy, Image synthesis, Computational modeling, Noise reduction, Noise, Diffusion models, Image reconstruction, diffusion models BibRef

Lee, H.[Haeil], Lee, H.S.[Han-Sang], Gye, S.[Seoyeon], Kim, J.[Junmo],
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models Using Stepwise Spectral Analysis,
WACV25(4215-4224)
IEEE DOI 2505
Fourier transforms, Image synthesis, Noise reduction, Focusing, Diffusion models, Sampling methods, Computational efficiency, efficient image generation BibRef

Patel, Z.[Zakaria], Serkh, K.[Kirill],
Enhancing Image Layout Control with Loss-Guided Diffusion Models,
WACV25(3916-3924)
IEEE DOI 2505
Visualization, Attention mechanisms, Image synthesis, Computational modeling, Layout, Noise, Diffusion models, loss guidance BibRef

Jun, Y.[Youngjun], Park, J.[Jiwoo], Choo, K.[Kyobin], Choi, T.E.[Tae Eun], Hwang, S.J.[Seong Jae],
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models,
WACV25(3559-3569)
IEEE DOI 2505
Training, Disentangled representation learning, Semantics, Noise reduction, Stochastic processes, Focusing, Transforms, diffusion models BibRef

Adaloglou, N.[Nikolas], Kaiser, T.[Tim], Michels, F.[Felix], Kollmann, M.[Markus],
Rethinking Cluster-Conditioned Diffusion Models for Label-Free Image Synthesis,
WACV25(3603-3613)
IEEE DOI Code:
WWW Link. 2505
Training, Image quality, Visualization, Upper bound, Systematics, Codes, Image synthesis, Focusing, Diffusion models, image synthesis BibRef

Marjit, S.[Shyam], Singh, H.[Harshit], Mathur, N.[Nityanand], Paul, S.[Sayak], Yu, C.M.[Chia-Mu], Chen, P.Y.[Pin-Yu],
DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models,
WACV25(3529-3538)
IEEE DOI 2505
Training, Adaptation models, Visualization, Sensitivity, Image synthesis, Image color analysis, Text to image, Stability analysis BibRef

Theiss, J.[Justin], Müller, N.[Norman], Kim, D.[Daeil], Prakash, A.[Aayush],
Multi-View Image Diffusion via Coordinate Noise and Fourier Attention,
WACV25(4310-4319)
IEEE DOI 2505
Measurement, Time-frequency analysis, Correlation, Attention mechanisms, Noise, Text to image, Diffusion processes, Videos BibRef

Arrabi, A.[Ahmad], Zhang, X.H.[Xiao-Han], Sultani, W.[Waqas], Chen, C.[Chen], Wshah, S.[Safwan],
Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text Guidance,
WACV25(5356-5366)
IEEE DOI Code:
WWW Link. 2505
Geometry, Image segmentation, Costs, Image synthesis, Geology, Computational modeling, Layout, Diffusion models, multimodality BibRef

Li, S.J.[Shi-Jie], Zanjani, F.G.[Farhad G.], Yahia, H.B.[Haitam Ben], Asano, Y.[Yuki], Gall, J.[Jürgen], Habibian, A.[Amirhossein],
Valid: Variable-Length Input Diffusion for Novel View Synthesis,
WACV25(2240-2249)
IEEE DOI 2505
Training, Visualization, Costs, Image synthesis, Fuses, Computational modeling, Diffusion processes, Diffusion models, diffusion model BibRef

Zhang, J.Y.[Jian-Yi], Zhou, Y.F.[Yu-Fan], Gu, J.X.[Jiu-Xiang], Wigington, C.[Curtis], Yu, T.[Tong], Chen, Y.R.[Yi-Ran], Sun, T.[Tong], Zhang, R.[Ruiyi],
ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models,
WACV25(1268-1278)
IEEE DOI 2505
Training, Visualization, Accuracy, Image synthesis, Large language models, Disentangled representation learning, Rendering (computer graphics) BibRef

Garcia, G.M.[Gonzalo Martin], Zeid, K.A.[Karim Abou], Schmidt, C.[Christian], de Geus, D.[Daan], Hermans, A.[Alexander], Leibe, B.[Bastian],
Fine-Tuning Image-Conditional Diffusion Models is Easier than you Think,
WACV25(753-762)
IEEE DOI 2505
Training, Geometry, Protocols, Image synthesis, Computational modeling, Depth measurement, Pipelines, Estimation, Reliability BibRef

Cui, Q.P.[Qin-Peng], Zhang, X.[Xinyi], Bao, Q.Q.[Qi-Qi], Liao, Q.M.[Qing-Min],
Elucidating the Solution Space of Extended Reverse-Time SDE for Diffusion Models,
WACV25(243-252)
IEEE DOI Code:
WWW Link. 2505
Visualization, Codes, Buildings, Stochastic processes, Differential equations, Diffusion models BibRef

Xu, K.[Katherine], Zhang, L.Z.[Ling-Zhi], Shi, J.B.[Jian-Bo],
Detecting Origin Attribution for Text-to-Image Diffusion Models,
WACV25(8775-8785)
IEEE DOI 2505
Training, Visualization, Image forensics, Accuracy, Image recognition, Image synthesis, Text to image, fake image detection BibRef

Choi, S.[Seunghwan], Yun, J.[Jooyeol], Park, J.[Jeonghoon], Choo, J.[Jaegul],
Disentangling Subject-Irrelevant Elements in Personalized Text-to-Image Diffusion via Filtered Self-Distillation,
WACV25(9073-9082)
IEEE DOI 2505
Training, Gold, Analytical models, Image resolution, Filtering, Computational modeling, Text to image, User experience, self-distillation BibRef

Dutt, R.[Raman], Bohdal, O.[Ondrej], Sanchez, P.[Pedro], Tsaftaris, S.A.[Sotirios A.], Hospedales, T.[Timothy],
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection,
WACV25(4491-4501)
IEEE DOI Code:
WWW Link. 2505
Uniform resource locators, Measurement, Law, Image synthesis, Prevention and mitigation, Training data, Text to image, medical image analysis BibRef

Guo, D.F.[Dan-Feng], Agarwal, S.[Sanchit], Lin, Y.H.[Yu-Hsiang], Kao, J.Y.[Jiun-Yu], Chung, T.[Tagyoung], Peng, N.[Nanyun], Bansal, M.[Mohit],
Improving Faithfulness of Text-to-Image Diffusion Models through Inference Intervention,
WACV25(4077-4086)
IEEE DOI 2505
Measurement, Accuracy, Computational modeling, Noise reduction, Layout, Retrieval augmented generation, Text to image, Diffusion models BibRef

Wu, H.N.[Hao-Ning], Shen, S.C.[Shao-Cheng], Hu, Q.[Qiang], Zhang, X.Y.[Xiao-Yun], Zhang, Y.[Ya], Wang, Y.F.[Yan-Feng],
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning,
WACV25(3944-3953)
IEEE DOI Code:
WWW Link. 2505
Adaptation models, Image resolution, Image synthesis, Computational modeling, Semantics, Noise, Text to image, tuning-free BibRef

He, X.Z.[Xing-Zhe], Cao, Z.W.[Zhi-Wen], Kolkin, N.[Nicholas], Yu, L.[Lantao], Wan, K.[Kun], Rhodin, H.[Helge], Kalarot, R.[Ratheesh],
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization,
WACV25(3782-3791)
IEEE DOI 2505
Training, Image quality, Visualization, Image color analysis, Natural languages, Memory management, Text to image, generative model BibRef

Buchheim, B.[Benito], Reimann, M.[Max], Döllner, J.[Jürgen],
Controlling Human Shape and Pose in Text-to-Image Diffusion Models via Domain Adaptation,
WACV25(3688-3697)
IEEE DOI Code:
WWW Link. 2505
Visualization, Adaptation models, Shape, Text to image, Diffusion models, Vectors, human body control BibRef

Xu, K.[Katherine], Zhang, L.Z.[Ling-Zhi], Shi, J.B.[Jian-Bo],
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models,
WACV25(3024-3034)
IEEE DOI 2505
Visualization, Accuracy, Image synthesis, Noise, Text to image, Diffusion processes, Crops, Gray-scale, Diffusion models, seeds BibRef

Ram, S.[Shwetha], Neiman, T.[Tal], Feng, Q.L.[Qian-Li], Stuart, A.[Andrew], Tran, S.[Son], Chilimbi, T.[Trishul],
DreamBlend: Advancing Personalized Fine-Tuning of Text-to-Image Diffusion Models,
WACV25(3614-3623)
IEEE DOI 2505
Image synthesis, Text to image, Diffusion models, Image reconstruction BibRef

Jena, R.[Rohit], Taghibakhshi, A.[Ali], Jain, S.[Sahil], Shen, G.[Gerald], Tajbakhsh, N.[Nima], Vahdat, A.[Arash],
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models,
WACV25(232-242)
IEEE DOI 2505
Measurement, Training, Annealing, Monte Carlo methods, Noise, Text to image, Diffusion models, Data models, Computer crime, text-to-image alignment BibRef

Kang, W.J.[Won-Jun], Galim, K.[Kevin], Koo, H.I.[Hyung Il], Cho, N.I.[Nam Ik],
Counting Guidance for High Fidelity Text-to-Image Synthesis,
WACV25(899-908)
IEEE DOI 2505
Knowledge engineering, Noise, Noise reduction, Text to image, Diffusion models, Tuning, generative models, diffusion models, text-to-image generation BibRef

Sun, Z.C.[Zhi-Cheng], Jiang, Y.[Yuan], Qin, Z.[Zihao], Deng, Y.C.[Yan-Cong],
Clip2Sam: Enhanced End-to-End Text-to-Image Segmentation and Image Diffusion System,
ICIVC24(169-176)
IEEE DOI 2503
Image segmentation, Computational modeling, Semantics, Text to image, Surgery, Diffusion models, Robustness, Standards, Segmentation BibRef

Voynov, A.[Andrey], Hertz, A.[Amir], Arar, M.[Moab], Fruchter, S.[Shlomi], Cohen-Or, D.[Daniel],
Curved Diffusion: A Generative Model with Optical Geometry Control,
ECCV24(LXXVII: 149-164).
Springer DOI 2412
BibRef

Chen, J.S.[Jun-Song], Ge, C.J.[Chong-Jian], Xie, E.[Enze], Wu, Y.[Yue], Yao, L.W.[Le-Wei], Ren, X.Z.[Xiao-Zhe], Wang, Z.[Zhongdao], Luo, P.[Ping], Lu, H.C.[Hu-Chuan], Li, Z.G.[Zhen-Guo],
Pixart-sigma: Weak-to-strong Training of Diffusion Transformer for 4k Text-to-image Generation,
ECCV24(XXXII: 74-91).
Springer DOI 2412
BibRef

Salehi, S.[Sogand], Shafiei, M.[Mahdi], Yeo, T.[Teresa], Bachmann, R.[Roman], Zamir, A.[Amir],
Viper: Visual Personalization of Generative Models via Individual Preference Learning,
ECCV24(LXXIV: 391-406).
Springer DOI 2412
Code:
WWW Link. BibRef

Um, S.[Soobin], Ye, J.C.[Jong Chul],
Self-guided Generation of Minority Samples Using Diffusion Models,
ECCV24(LXVIII: 414-430).
Springer DOI 2412
Code:
WWW Link. BibRef

Mukhopadhyay, S.[Soumik], Gwilliam, M.[Matthew], Yamaguchi, Y.[Yosuke], Agarwal, V.[Vatsal], Padmanabhan, N.[Namitha], Swaminathan, A.[Archana], Zhou, T.Y.[Tian-Yi], Ohya, J.[Jun], Shrivastava, A.[Abhinav],
Do Text-free Diffusion Models Learn Discriminative Visual Representations?,
ECCV24(LX: 253-272).
Springer DOI 2412
Project:
WWW Link. Code:
WWW Link. BibRef

Wang, J.Y.[Jia-Yi], Laube, K.A.[Kevin Alexander], Li, Y.M.[Yu-Meng], Metzen, J.H.[Jan Hendrik], Cheng, S.I.[Shin-I], Borges, J.[Julio], Khoreva, A.[Anna],
Label-free Neural Semantic Image Synthesis,
ECCV24(LIII: 391-407).
Springer DOI 2412
BibRef

Xu, C.[Chen], Song, T.[Tianhui], Feng, W.X.[Wei-Xin], Li, X.B.[Xu-Bin], Ge, T.[Tiezheng], Zheng, B.[Bo], Wang, L.M.[Li-Min],
Accelerating Image Generation with Sub-path Linear Approximation Model,
ECCV24(LIII: 323-339).
Springer DOI 2412
BibRef

Zhang, S.[Shen], Chen, Z.W.[Zhao-Wei], Zhao, Z.Y.[Zhen-Yu], Chen, Y.H.[Yu-Hao], Tang, Y.[Yao], Liang, J.J.[Jia-Jun],
Hidiffusion: Unlocking Higher-resolution Creativity and Efficiency in Pretrained Diffusion Models,
ECCV24(LI: 145-161).
Springer DOI 2412
BibRef

Garibi, D.[Daniel], Patashnik, O.[Or], Voynov, A.[Andrey], Averbuch-Elor, H.[Hadar], Cohen-Or, D.[Daniel],
Renoise: Real Image Inversion Through Iterative Noising,
ECCV24(XIV: 395-413).
Springer DOI 2412
BibRef

Cao, Y.[Yu], Gong, S.G.[Shao-Gang],
Few-shot Image Generation by Conditional Relaxing Diffusion Inversion,
ECCV24(LXXXIV: 20-37).
Springer DOI 2412
BibRef

Huang, R.[Runhui], Cai, K.X.[Kai-Xin], Han, J.H.[Jian-Hua], Liang, X.D.[Xiao-Dan], Pei, R.[Renjing], Lu, G.S.[Guan-Song], Xu, S.[Songcen], Zhang, W.[Wei], Xu, H.[Hang],
Layerdiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-collaborative Diffusion Model,
ECCV24(LXXVI: 144-160).
Springer DOI 2412
BibRef

Brokman, J.[Jonathan], Hofman, O.[Omer], Vainshtein, R.[Roman], Giloni, A.[Amit], Shimizu, T.[Toshiya], Singh, I.[Inderjeet], Rachmil, O.[Oren], Zolfi, A.[Alon], Shabtai, A.[Asaf], Unno, Y.[Yuki], Kojima, H.[Hisashi],
Montrage: Monitoring Training for Attribution of Generative Diffusion Models,
ECCV24(LXXV: 1-17).
Springer DOI 2412
BibRef

Desai, A.[Alakh], Vasconcelos, N.M.[Nuno M.],
Improving Image Synthesis with Diffusion-negative Sampling,
ECCV24(LIII: 199-214).
Springer DOI 2412
BibRef

Zhang, M.Y.[Man-Yuan], Song, G.L.[Guang-Lu], Shi, X.Y.[Xiao-Yu], Liu, Y.[Yu], Li, H.S.[Hong-Sheng],
Three Things We Need to Know About Transferring Stable Diffusion to Visual Dense Prediction Tasks,
ECCV24(XLII: 128-145).
Springer DOI 2412
BibRef

Huang, L.J.[Lin-Jiang], Fang, R.Y.[Rong-Yao], Zhang, A.P.[Ai-Ping], Song, G.L.[Guang-Lu], Liu, S.[Si], Liu, Y.[Yu], Li, H.S.[Hong-Sheng],
FouriScale: A Frequency Perspective on Training-free High-resolution Image Synthesis,
ECCV24(XII: 196-212).
Springer DOI 2412
Code:
WWW Link. BibRef

Guan, S.[Shanyan], Ge, Y.H.[Yan-Hao], Tai, Y.[Ying], Yang, J.[Jian], Li, W.[Wei], You, M.Y.[Ming-Yu],
Hybridbooth: Hybrid Prompt Inversion for Efficient Subject-driven Generation,
ECCV24(IX: 403-419).
Springer DOI 2412
BibRef

Wu, Y.[Yi], Li, Z.Q.[Zi-Qiang], Zheng, H.L.[He-Liang], Wang, C.Y.[Chao-Yue], Li, B.[Bin],
Infinite-ID: Identity-preserved Personalization via ID-Semantics Decoupling Paradigm,
ECCV24(VIII: 279-296).
Springer DOI 2412
BibRef

Butt, M.A.[Muhammad Atif], Wang, K.[Kai], Vazquez-Corral, J.[Javier], van de Weijer, J.[Joost],
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement,
ECCV24(VII: 456-472).
Springer DOI 2412
Project:
WWW Link. BibRef

Li, M.[Ming], Yang, T.[Taojiannan], Kuang, H.F.[Hua-Feng], Wu, J.[Jie], Wang, Z.N.[Zhao-Ning], Xiao, X.F.[Xue-Feng], Chen, C.[Chen],
Controlnet++: Improving Conditional Controls with Efficient Consistency Feedback,
ECCV24(VII: 129-147).
Springer DOI 2412
Project:
WWW Link. BibRef

Ning, W.X.[Wen-Xin], Chang, D.L.[Dong-Liang], Tong, Y.J.[Yu-Jun], He, Z.J.[Zhong-Jiang], Liang, K.M.[Kong-Ming], Ma, Z.Y.[Zhan-Yu],
Hierarchical Prompting for Diffusion Classifiers,
ACCV24(VIII: 297-314).
Springer DOI 2412
Code:
WWW Link. BibRef

Kim, G.[Gwanghyun], Kim, H.[Hayeon], Seo, H.[Hoigi], Kang, D.U.[Dong Un], Chun, S.Y.[Se Young],
Beyondscene: Higher-resolution Human-centric Scene Generation with Pretrained Diffusion,
ECCV24(LXIV: 126-142).
Springer DOI 2412
BibRef

Wang, Y.L.[Yi-Lin], Chen, Z.Y.[Ze-Yuan], Zhong, L.J.[Liang-Jun], Ding, Z.[Zheng], Tu, Z.W.[Zhuo-Wen],
Dolfin: Diffusion Layout Transformers Without Autoencoder,
ECCV24(LI: 326-343).
Springer DOI 2412
BibRef

Najdenkoska, I.[Ivona], Sinha, A.[Animesh], Dubey, A.[Abhimanyu], Mahajan, D.[Dhruv], Ramanathan, V.[Vignesh], Radenovic, F.[Filip],
Context Diffusion: In-context Aware Image Generation,
ECCV24(LXXVII: 375-391).
Springer DOI 2412
BibRef

Ma, N.[Nanye], Goldstein, M.[Mark], Albergo, M.S.[Michael S.], Boffi, N.M.[Nicholas M.], Vanden-Eijnden, E.[Eric], Xie, S.[Saining],
SIT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers,
ECCV24(LXXVII: 23-40).
Springer DOI 2412
BibRef

Zhang, D.J.H.[David Jun-Hao], Xu, M.[Mutian], Wu, J.Z.J.[Jay Zhang-Jie], Xue, C.[Chuhui], Zhang, W.Q.[Wen-Qing], Han, X.G.[Xiao-Guang], Bai, S.[Song], Shou, M.Z.[Mike Zheng],
Free-atm: Harnessing Free Attention Masks for Representation Learning on Diffusion-generated Images,
ECCV24(XL: 465-482).
Springer DOI 2412
BibRef

Yu, Z.M.[Zheng-Ming], Dou, Z.Y.[Zhi-Yang], Long, X.X.[Xiao-Xiao], Lin, C.[Cheng], Li, Z.K.[Ze-Kun], Liu, Y.[Yuan], Müller, N.[Norman], Komura, T.[Taku], Habermann, M.[Marc], Theobalt, C.[Christian], Li, X.[Xin], Wang, W.P.[Wen-Ping],
SURF-D: Generating High-quality Surfaces of Arbitrary Topologies Using Diffusion Models,
ECCV24(XXXIX: 419-438).
Springer DOI 2412
BibRef

Gandikota, R.[Rohit], Materzynska, J.[Joanna], Zhou, T.[Tingrui], Torralba, A.[Antonio], Bau, D.[David],
Concept Sliders: Lora Adaptors for Precise Control in Diffusion Models,
ECCV24(XL: 172-188).
Springer DOI 2412
BibRef

Iwai, S.[Shoma], Osanai, A.[Atsuki], Kitada, S.[Shunsuke], Omachi, S.[Shinichiro],
Layout-corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model,
ECCV24(XXXIV: 92-110).
Springer DOI 2412
BibRef

Kong, Z.[Zhe], Zhang, Y.[Yong], Yang, T.Y.[Tian-Yu], Wang, T.[Tao], Zhang, K.H.[Kai-Hao], Wu, B.[Bizhu], Chen, G.Y.[Guan-Ying], Liu, W.[Wei], Luo, W.H.[Wen-Han],
OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models,
ECCV24(XXXI: 253-270).
Springer DOI 2412
BibRef

Lin, Z.H.[Zhi-Hang], Lin, M.B.[Ming-Bao], Zhao, M.[Meng], Ji, R.R.[Rong-Rong],
Accdiffusion: An Accurate Method for Higher-resolution Image Generation,
ECCV24(VI: 38-53).
Springer DOI 2412
BibRef

Somepalli, G.[Gowthami], Gupta, A.[Anubhav], Gupta, K.[Kamal], Palta, S.[Shramay], Goldblum, M.[Micah], Geiping, J.[Jonas], Shrivastava, A.[Abhinav], Goldstein, T.[Tom],
Investigating Style Similarity in Diffusion Models,
ECCV24(LXVI: 143-160).
Springer DOI 2412
BibRef

Qi, Z.[Zipeng], Huang, G.X.[Guo-Xi], Liu, C.Y.[Chen-Yang], Ye, F.[Fei],
Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis,
ECCV24(LXVI: 426-443).
Springer DOI 2412
BibRef

Ju, X.[Xuan], Liu, X.[Xian], Wang, X.T.[Xin-Tao], Bian, Y.X.[Yu-Xuan], Shan, Y.[Ying], Xu, Q.[Qiang],
Brushnet: A Plug-and-play Image Inpainting Model with Decomposed Dual-branch Diffusion,
ECCV24(XX: 150-168).
Springer DOI 2412
BibRef

Lin, C.H.[Chieh Hubert], Kim, C.[Changil], Huang, J.B.[Jia-Bin], Li, Q.[Qinbo], Ma, C.Y.[Chih-Yao], Kopf, J.[Johannes], Yang, M.H.[Ming-Hsuan], Tseng, H.Y.[Hung-Yu],
Taming Latent Diffusion Model for Neural Radiance Field Inpainting,
ECCV24(III: 149-165).
Springer DOI 2412
BibRef

Gao, H.A.[Huan-Ang], Gao, M.J.[Ming-Ju], Li, J.[Jiaju], Li, W.[Wenyi], Zhi, R.[Rong], Tang, H.[Hao], Zhao, H.[Hao],
SCP-Diff: Spatial-categorical Joint Prior for Diffusion Based Semantic Image Synthesis,
ECCV24(XXXII: 37-54).
Springer DOI 2412
BibRef

Le, M.Q.[Minh-Quan], Graikos, A.[Alexandros], Yellapragada, S.[Srikar], Gupta, R.[Rajarsi], Saltz, J.[Joel], Samaras, D.[Dimitris],
inf-brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions,
ECCV24(XXXII: 385-401).
Springer DOI 2412
BibRef

Gong, C.[Chao], Chen, K.[Kai], Wei, Z.P.[Zhi-Peng], Chen, J.J.[Jing-Jing], Jiang, Y.G.[Yu-Gang],
Reliable and Efficient Concept Erasure of Text-to-image Diffusion Models,
ECCV24(LIII: 73-88).
Springer DOI 2412
BibRef

Luo, J.J.[Jian-Jie], Chen, J.W.[Jing-Wen], Li, Y.[Yehao], Pan, Y.W.[Ying-Wei], Feng, J.L.[Jian-Lin], Chao, H.Y.[Hong-Yang], Yao, T.[Ting],
Unleashing Text-to-image Diffusion Prior for Zero-shot Image Captioning,
ECCV24(LVII: 237-254).
Springer DOI 2412
BibRef

Lu, G.S.[Guan-Song], Guo, Y.F.[Yuan-Fan], Han, J.H.[Jian-Hua], Niu, M.Z.[Min-Zhe], Zeng, Y.H.[Yi-Han], Xu, S.[Songcen], Huang, Z.Y.[Ze-Yi], Zhong, Z.[Zhao], Zhang, W.[Wei], Xu, H.[Hang],
Pangu-draw: Advancing Resource-efficient Text-to-image Synthesis with Time-decoupled Training and Reusable Coop-diffusion,
ECCV24(XLV: 159-176).
Springer DOI 2412
BibRef

Huang, C.P.[Chi-Pin], Chang, K.P.[Kai-Po], Tsai, C.T.[Chung-Ting], Lai, Y.H.[Yung-Hsuan], Yang, F.E.[Fu-En], Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Receler: Reliable Concept Erasing of Text-to-image Diffusion Models via Lightweight Erasers,
ECCV24(XL: 360-376).
Springer DOI 2412
BibRef

Zhang, Y.[Yasi], Yu, P.[Peiyu], Wu, Y.N.[Ying Nian],
Object-conditioned Energy-based Attention Map Alignment in Text-to-image Diffusion Models,
ECCV24(XLII: 55-71).
Springer DOI 2412
BibRef

Chai, W.L.[Wei-Long], Zheng, D.D.[Dan-Dan], Cao, J.J.[Jia-Jiong], Chen, Z.Q.[Zhi-Quan], Wang, C.B.[Chang-Bao], Ma, C.G.[Chen-Guang],
Speedupnet: A Plug-and-play Adapter Network for Accelerating Text-to-image Diffusion Models,
ECCV24(XLIII: 181-196).
Springer DOI 2412
BibRef

Zhang, Y.[Yi], Tang, Y.[Yun], Ruan, W.J.[Wen-Jie], Huang, X.W.[Xiao-Wei], Khastgir, S.[Siddartha], Jennings, P.[Paul], Zhao, X.Y.[Xing-Yu],
Protip: Probabilistic Robustness Verification on Text-to-image Diffusion Models Against Stochastic Perturbation,
ECCV24(XXXII: 455-472).
Springer DOI 2412
BibRef

Nair, N.G.[Nithin Gopalakrishnan], Valanarasu, J.M.J.[Jeya Maria Jose], Patel, V.M.[Vishal M.],
Maxfusion: Plug&play Multi-modal Generation in Text-to-Image Diffusion Models,
ECCV24(XXXVIII: 93-110).
Springer DOI 2412
BibRef

Zhang, Z.B.[Zheng-Bo], Xu, L.[Li], Peng, D.[Duo], Rahmani, H.[Hossein], Liu, J.[Jun],
Diff-tracker: Text-to-image Diffusion Models are Unsupervised Trackers,
ECCV24(XXVIII: 319-337).
Springer DOI 2412
BibRef

Motamed, S.[Saman], Paudel, D.P.[Danda Pani], Van Gool, L.J.[Luc J.],
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-image Diffusion Models,
ECCV24(XV: 116-133).
Springer DOI 2412
BibRef

Kong, H.Y.[Han-Yang], Lian, D.Z.[Dong-Ze], Mi, M.B.[Michael Bi], Wang, X.C.[Xin-Chao],
Dreamdrone: Text-to-image Diffusion Models Are Zero-shot Perpetual View Generators,
ECCV24(XIII: 324-341).
Springer DOI 2412
BibRef

Peng, D.[Duo], Zhang, Z.B.[Zheng-Bo], Hu, P.[Ping], Ke, Q.H.[Qiu-Hong], Yau, D.K.Y.[David K. Y.], Liu, J.[Jun],
Harnessing Text-to-image Diffusion Models for Category-agnostic Pose Estimation,
ECCV24(XIII: 342-360).
Springer DOI 2412
BibRef

Zhao, T.C.[Tian-Chen], Ning, X.F.[Xue-Fei], Fang, T.[Tongcheng], Liu, E.[Enshu], Huang, G.[Guyue], Lin, Z.[Zinan], Yan, S.[Shengen], Dai, G.H.[Guo-Hao], Wang, Y.[Yu],
Mixdq: Memory-efficient Few-step Text-to-image Diffusion Models with Metric-decoupled Mixed Precision Quantization,
ECCV24(XIV: 285-302).
Springer DOI 2412
BibRef

Gao, Y.[Yi],
Psg-adapter: Controllable Planning Scene Graph for Improving Text-to-image Diffusion,
ACCV24(V: 205-221).
Springer DOI 2412
BibRef

Gupta, P.[Parul], Hayat, M.[Munawar], Dhall, A.[Abhinav], Do, T.T.[Thanh-Toan],
Conditional Distribution Modelling for Few-shot Image Synthesis with Diffusion Models,
ACCV24(V: 3-20).
Springer DOI 2412
BibRef

Ren, J.[Jie], Li, Y.X.[Ya-Xin], Zeng, S.L.[Sheng-Lai], Xu, H.[Han], Lyu, L.J.[Ling-Juan], Xing, Y.[Yue], Tang, J.[Jiliang],
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models Through Cross Attention,
ECCV24(LXXVII: 340-356).
Springer DOI 2412
BibRef

Zheng, W.[Wendi], Teng, J.Y.[Jia-Yan], Yang, Z.[Zhuoyi], Wang, W.H.[Wei-Han], Chen, J.[Jidong], Gu, X.T.[Xiao-Tao], Dong, Y.X.[Yu-Xiao], Ding, M.[Ming], Tang, J.[Jie],
Cogview3: Finer and Faster Text-to-image Generation via Relay Diffusion,
ECCV24(LXXVII: 1-22).
Springer DOI 2412
BibRef

Zhao, J.[Juntu], Deng, J.Y.[Jun-Yu], Ye, Y.X.[Yi-Xin], Li, C.X.[Chong-Xuan], Deng, Z.J.[Zhi-Jie], Wang, D.[Dequan],
Lost in Translation: Latent Concept Misalignment in Text-to-image Diffusion Models,
ECCV24(LXIX: 318-333).
Springer DOI 2412
BibRef

Hui, X.F.[Xiao-Fei], Wu, Q.[Qian], Rahmani, H.[Hossein], Liu, J.[Jun],
Class-agnostic Object Counting with Text-to-image Diffusion Model,
ECCV24(LXIX: 1-18).
Springer DOI 2412
BibRef

Ma, J.[Jian], Chen, C.[Chen], Xie, Q.S.[Qing-Song], Lu, H.[Haonan],
Pea-diffusion: Parameter-efficient Adapter with Knowledge Distillation in Non-english Text-to-image Generation,
ECCV24(LXVIII: 89-105).
Springer DOI 2412
BibRef

Kim, S.[Sanghyun], Jung, S.[Seohyeon], Kim, B.[Balhae], Choi, M.[Moonseok], Shin, J.[Jinwoo], Lee, J.H.[Ju-Ho],
Safeguard Text-to-image Diffusion Models with Human Feedback Inversion,
ECCV24(LXVII: 128-145).
Springer DOI 2412
BibRef

Biggs, B.[Benjamin], Seshadri, A.[Arjun], Zou, Y.[Yang], Jain, A.[Achin], Golatkar, A.[Aditya], Xie, Y.S.[Yu-Sheng], Achille, A.[Alessandro], Swaminathan, A.[Ashwin], Soatto, S.[Stefano],
Diffusion Soup: Model Merging for Text-to-image Diffusion Models,
ECCV24(LXIII: 257-274).
Springer DOI 2412
BibRef

Zhao, Y.[Yang], Xu, Y.[Yanwu], Xiao, Z.S.[Zhi-Sheng], Jia, H.L.[Hao-Lin], Hou, T.B.[Ting-Bo],
Mobilediffusion: Instant Text-to-image Generation on Mobile Devices,
ECCV24(LXII: 225-242).
Springer DOI 2412
BibRef

Zhang, Y.[Yang], Tzun, T.T.[Teoh Tze], Hern, L.W.[Lim Wei], Kawaguchi, K.[Kenji],
Enhancing Semantic Fidelity in Text-to-image Synthesis: Attention Regulation in Diffusion Models,
ECCV24(LXXXVI: 70-86).
Springer DOI 2412
BibRef

Wang, Z.Q.[Zhong-Qi], Zhang, J.[Jie], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
T2ishield: Defending Against Backdoors on Text-to-image Diffusion Models,
ECCV24(LXXXV: 107-124).
Springer DOI 2412
BibRef

Kim, C.[Changhoon], Min, K.[Kyle], Yang, Y.Z.[Ye-Zhou],
R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-image Diffusion Model,
ECCV24(LXXXIII: 461-478).
Springer DOI 2412
BibRef

Wu, X.S.[Xiao-Shi], Hao, Y.M.[Yi-Ming], Zhang, M.Y.[Man-Yuan], Sun, K.Q.[Ke-Qiang], Huang, Z.Y.[Zhao-Yang], Song, G.L.[Guang-Lu], Liu, Y.[Yu], Li, H.S.[Hong-Sheng],
Deep Reward Supervisions for Tuning Text-to-image Diffusion Models,
ECCV24(LXXXIII: 108-124).
Springer DOI 2412
BibRef

Parihar, R.[Rishubh], Sachidanand, V.S., Mani, S.[Sabariswaran], Karmali, T.[Tejan], Babu, R.V.[R. Venkatesh],
Precisecontrol: Enhancing Text-to-image Diffusion Models with Fine-grained Attribute Control,
ECCV24(LXXXII: 469-487).
Springer DOI 2412
BibRef

Choi, D.W.[Dae-Won], Jeong, J.[Jongheon], Jang, H.[Huiwon], Shin, J.[Jinwoo],
Adversarial Robustification via Text-to-image Diffusion Models,
ECCV24(LXXXI: 158-177).
Springer DOI 2412
BibRef

Zavadski, D.[Denis], Feiden, J.F.[Johann-Friedrich], Rother, C.[Carsten],
Controlnet-xs: Rethinking the Control of Text-to-image Diffusion Models as Feedback-control Systems,
ECCV24(LXXXVIII: 343-362).
Springer DOI 2412
BibRef

Maung-Maung, A.P.[April-Pyone], Nguyen, H.H.[Huy H.], Kiya, H.[Hitoshi], Echizen, I.[Isao],
Fine-Tuning Text-To-Image Diffusion Models for Class-Wise Spurious Feature Generation,
ICIP24(3910-3916)
IEEE DOI 2411
Text to image, Flowering plants, Diffusion models, Feature extraction, Information filters, Internet, Testing, finetuning BibRef

Hudson, D.A.[Drew A.], Zoran, D.[Daniel], Malinowski, M.[Mateusz], Lampinen, A.K.[Andrew K.], Jaegle, A.[Andrew], McClelland, J.L.[James L.], Matthey, L.[Loic], Hill, F.[Felix], Lerchner, A.[Alexander],
SODA: Bottleneck Diffusion Models for Representation Learning,
CVPR24(23115-23127)
IEEE DOI 2410
Representation learning, Training, Visualization, Image synthesis, Semantics, Noise reduction, Self-supervised learning, classification BibRef

Karras, T.[Tero], Aittala, M.[Miika], Lehtinen, J.[Jaakko], Hellsten, J.[Janne], Aila, T.[Timo], Laine, S.[Samuli],
Analyzing and Improving the Training Dynamics of Diffusion Models,
CVPR24(24174-24184)
IEEE DOI 2410
Training, Systematics, Costs, Image synthesis, Computer architecture, Network architecture BibRef

Li, J.[Jing], Wang, Z.[Zigan], Li, J.L.[Jin-Liang],
AdvDenoise: Fast Generation Framework of Universal and Robust Adversarial Patches Using Denoise,
SAIAD24(3481-3490)
IEEE DOI Code:
WWW Link. 2410
Visualization, Computational modeling, Noise reduction, Diffusion models, Transformers, Robustness BibRef

Tang, S.[Siao], Wang, X.[Xin], Chen, H.[Hong], Guan, C.[Chaoyu], Wu, Z.[Zewen], Tang, Y.S.[Yan-Song], Zhu, W.W.[Wen-Wu],
Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-image Diffusion Models,
ECCV24(LVI: 404-420).
Springer DOI 2412
BibRef

Wang, C.Y.[Chang-Yuan], Wang, Z.W.[Zi-Wei], Xu, X.W.[Xiu-Wei], Tang, Y.S.[Yan-Song], Zhou, J.[Jie], Lu, J.W.[Ji-Wen],
Towards Accurate Post-Training Quantization for Diffusion Models,
CVPR24(16026-16035)
IEEE DOI Code:
WWW Link. 2410
Quantization (signal), Risk minimization, Accuracy, Tensors, Image synthesis, Diffusion models, Minimization, diffusion model, network quantization BibRef

Islam, K.[Khawar], Zaheer, M.Z.[Muhammad Zaigham], Mahmood, A.[Arif], Nandakumar, K.[Karthik],
Diffusemix: Label-Preserving Data Augmentation with Diffusion Models,
CVPR24(27611-27620)
IEEE DOI Code:
WWW Link. 2410
Training, Performance gain, Diffusion models, Data augmentation, Robustness, Image augmentation, Fractals, data augmentation, cutmix BibRef

Miao, Z.C.[Zi-Chen], Wang, J.[Jiang], Wang, Z.[Ze], Yang, Z.Y.[Zheng-Yuan], Wang, L.J.[Li-Juan], Qiu, Q.[Qiang], Liu, Z.C.[Zi-Cheng],
Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning,
CVPR24(10844-10853)
IEEE DOI 2410
Training, Gradient methods, Limiting, Image synthesis, Estimation, Diffusion processes, Reinforcement learning BibRef

Shabani, M.A.[Mohammad Amin], Wang, Z.W.[Zhao-Wen], Liu, D.[Difan], Zhao, N.X.[Nan-Xuan], Yang, J.[Jimei], Furukawa, Y.[Yasutaka],
Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation,
CVPR24(9222-9231)
IEEE DOI Code:
WWW Link. 2410
Visualization, Computational modeling, Layout, Diffusion models, Controllability, Vectors BibRef

Qian, Y.R.[Yu-Rui], Cai, Q.[Qi], Pan, Y.W.[Ying-Wei], Li, Y.[Yehao], Yao, T.[Ting], Sun, Q.[Qibin], Mei, T.[Tao],
Boosting Diffusion Models with Moving Average Sampling in Frequency Domain,
CVPR24(8911-8920)
IEEE DOI 2410
Schedules, Image synthesis, Frequency-domain analysis, Noise reduction, Diffusion processes, Diffusion models, image generation BibRef

Yang, K.[Kai], Tao, J.[Jian], Lyu, J.[Jiafei], Ge, C.J.[Chun-Jiang], Chen, J.X.[Jia-Xin], Shen, W.H.[Wei-Han], Zhu, X.L.[Xiao-Long], Li, X.[Xiu],
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model,
CVPR24(8941-8951)
IEEE DOI Code:
WWW Link. 2410
Training, Analytical models, Image coding, Computational modeling, Noise reduction, Graphics processing units, Diffusion models, Human feedback BibRef

Zhu, R.[Rui], Pan, Y.W.[Ying-Wei], Li, Y.[Yehao], Yao, T.[Ting], Sun, Z.L.[Zheng-Long], Mei, T.[Tao], Chen, C.W.[Chang Wen],
SD-DiT: Unleashing the Power of Self-Supervised Discrimination in Diffusion Transformer*,
CVPR24(8435-8445)
IEEE DOI 2410
Training, Image synthesis, Noise, Diffusion processes, Ordinary differential equations, Transformers, self-supervised learning BibRef

Zhou, Z.Y.[Zhen-Yu], Chen, D.[Defang], Wang, C.[Can], Chen, C.[Chun],
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps,
CVPR24(7777-7786)
IEEE DOI Code:
WWW Link. 2410
Degradation, Image resolution, Image synthesis, Ordinary differential equations, Diffusion models, Fast Sampling BibRef

Lee, H.Y.[Hsin-Ying], Tseng, H.Y.[Hung-Yu], Lee, H.Y.[Hsin-Ying], Yang, M.H.[Ming-Hsuan],
Exploiting Diffusion Prior for Generalizable Dense Prediction,
CVPR24(7861-7871)
IEEE DOI Code:
WWW Link. 2410
Adaptation models, Visualization, Training data, Stochastic processes, Estimation, Diffusion processes, image generation BibRef

Li, M.Y.[Mu-Yang], Cai, T.[Tianle], Cao, J.X.[Jia-Xin], Zhang, Q.S.[Qin-Sheng], Cai, H.[Han], Bai, J.J.[Jun-Jie], Jia, Y.Q.[Yang-Qing], Li, K.[Kai], Han, S.[Song],
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models,
CVPR24(7183-7193)
IEEE DOI 2410
Degradation, Computational modeling, Graphics processing units, Diffusion processes, Parallel processing, Diffusion models, generative-ai BibRef

Koley, S.[Subhadeep], Bhunia, A.K.[Ayan Kumar], Sekhri, D.[Deeptanshu], Sain, A.[Aneeshan], Chowdhury, P.N.[Pinaki Nath], Xiang, T.[Tao], Song, Y.Z.[Yi-Zhe],
It's All About Your Sketch: Democratising Sketch Control in Diffusion Models,
CVPR24(7204-7214)
IEEE DOI 2410
Adaptation models, Adaptive systems, Navigation, Generative AI, Image retrieval, Process control, Streaming media BibRef

Wang, Y.[Yibo], Gao, R.Y.[Rui-Yuan], Chen, K.[Kai], Zhou, K.Q.[Kai-Qiang], Cai, Y.J.[Ying-Jie], Hong, L.Q.[Lan-Qing], Li, Z.G.[Zhen-Guo], Jiang, L.H.[Li-Hui], Yeung, D.Y.[Dit-Yan], Xu, Q.[Qiang], Zhang, K.[Kai],
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception,
CVPR24(7246-7255)
IEEE DOI 2410
Image segmentation, Image recognition, Image synthesis, Training data, Object detection, Diffusion models, Data augmentation BibRef

Zhang, P.Z.[Peng-Ze], Yin, H.[Hubery], Li, C.[Chen], Xie, X.H.[Xiao-Hua],
Tackling the Singularities at the Endpoints of Time Intervals in Diffusion Models,
CVPR24(6945-6954)
IEEE DOI 2410
Training, Brightness, Gaussian distribution, Diffusion models, Diffusion Model, Generative Model, Singularity BibRef

Hong, S.[Seongmin], Lee, K.[Kyeonghyun], Jeon, S.Y.[Suh Yoon], Bae, H.[Hyewon], Chun, S.Y.[Se Young],
On Exact Inversion of DPM-Solvers,
CVPR24(7069-7078)
IEEE DOI 2410
Noise, Noise reduction, Watermarking, Diffusion models, Robustness, Diffusion, Inversion, DPM-Solver BibRef

Deng, F.[Fei], Wang, Q.F.[Qi-Fei], Wei, W.[Wei], Hou, T.B.[Ting-Bo], Grundmann, M.[Matthias],
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models,
CVPR24(7423-7433)
IEEE DOI 2410
Training, Technological innovation, Closed box, Reinforcement learning, Diffusion models, RLHF BibRef

Du, R.[Ruoyi], Chang, D.L.[Dong-Liang], Hospedales, T.[Timothy], Song, Y.Z.[Yi-Zhe], Ma, Z.Y.[Zhan-Yu],
DemoFusion: Democratising High-Resolution Image Generation With No $$,
CVPR24(6159-6168)
IEEE DOI 2410
Training, Image resolution, Image synthesis, Generative AI, Semantics, Memory management, Image Generation, Diffusion Model, High-resolution BibRef

Wang, H.J.[Hong-Jie], Liu, D.[Difan], Kang, Y.[Yan], Li, Y.J.[Yi-Jun], Lin, Z.[Zhe], Jha, N.K.[Niraj K.], Liu, Y.C.[Yu-Chen],
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models,
CVPR24(16080-16089)
IEEE DOI Code:
WWW Link. 2410
Image quality, Schedules, Costs, Convolution, Computational modeling, Noise reduction, diffusion model, training-free, efficiency, attention map BibRef

Kang, J.[Junoh], Choi, J.[Jinyoung], Choi, S.[Sungik], Han, B.H.[Bo-Hyung],
Observation-Guided Diffusion Probabilistic Models,
CVPR24(8323-8331)
IEEE DOI Code:
WWW Link. 2410
Training, Accuracy, Computational modeling, Noise reduction, Quality control, Diffusion models, Robustness, generative models, diffusion models BibRef

Zhou, J.X.[Jin-Xin], Ding, T.Y.[Tian-Yu], Chen, T.Y.[Tian-Yi], Jiang, J.C.[Jia-Chen], Zharkov, I.[Ilya], Zhu, Z.H.[Zhi-Hui], Liang, L.[Luming],
DREAM: Diffusion Rectification and Estimation-Adaptive Models,
CVPR24(8342-8351)
IEEE DOI 2410
Training, Image quality, Navigation, Source coding, Superresolution, Estimation, Distortion BibRef

Chen, C.[Chen], Liu, D.[Daochang], Xu, C.[Chang],
Towards Memorization-Free Diffusion Models,
CVPR24(8425-8434)
IEEE DOI 2410
Image quality, Training, Measurement, Refining, Noise reduction, Training data, Reliability theory, Diffusion Models, Memorization BibRef

Qi, L.[Lu], Yang, L.[Lehan], Guo, W.D.[Wei-Dong], Xu, Y.[Yu], Du, B.[Bo], Jampani, V.[Varun], Yang, M.H.[Ming-Hsuan],
UniGS: Unified Representation for Image Generation and Segmentation,
CVPR24(6305-6315)
IEEE DOI 2410
Training, Image segmentation, Image synthesis, Image color analysis, Pipelines, Training data, Transforms, diffusion BibRef

Wang, L.Z.[Le-Zhong], Frisvad, J.R.[Jeppe Revall], Jensen, M.B.[Mark Bo], Bigdeli, S.A.[Siavash Arjomand],
StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Models,
GCV24(7416-7425)
IEEE DOI 2410
Image quality, Image synthesis, Extended reality, Pipelines, Noise reduction, Diffusion models, Deep Image/Video Synthesis, Stable Diffusion BibRef

Sharma, N.[Nakul], Tripathi, A.[Aditay], Chakraborty, A.[Anirban], Mishra, A.[Anand],
Sketch-guided Image Inpainting with Partial Discrete Diffusion Process,
NTIRE24(6024-6034)
IEEE DOI Code:
WWW Link. 2410
Visualization, Shape, Semantics, Diffusion processes, Text to image, Transformers BibRef

Guo, J.Y.[Jia-Yi], Xu, X.Q.[Xing-Qian], Pu, Y.F.[Yi-Fan], Ni, Z.[Zanlin], Wang, C.F.[Chao-Fei], Vasu, M.[Manushree], Song, S.[Shiji], Huang, G.[Gao], Shi, H.[Humphrey],
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models,
CVPR24(7548-7558)
IEEE DOI Code:
WWW Link. 2410
Training, Measurement, Interpolation, Visualization, Fluctuations, Perturbation methods, Text to image BibRef

Lyu, M.Y.[Meng-Yao], Yang, Y.H.[Yu-Hong], Hong, H.[Haiwen], Chen, H.[Hui], Jin, X.[Xuan], He, Y.[Yuan], Xue, H.[Hui], Han, J.G.[Jun-Gong], Ding, G.[Guiguang],
One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications,
CVPR24(7559-7568)
IEEE DOI Code:
WWW Link. 2410
Deformable models, Adaptation models, Costs, Deformation, Text to image, Diffusion models, Permeability, Diffusion Models, Concept Erasing BibRef

Yang, L.[Ling], Qian, H.T.[Hao-Tian], Zhang, Z.L.[Zhi-Ling], Liu, J.W.[Jing-Wei], Cui, B.[Bin],
Structure-Guided Adversarial Training of Diffusion Models,
CVPR24(7256-7266)
IEEE DOI 2410
Training, Manifolds, Image synthesis, Noise reduction, Text to image, Diffusion models, Data models, Diffusion models, generative models, Image generation BibRef

Yu, Y.Y.[Yu-Yang], Liu, B.Z.[Bang-Zhen], Zheng, C.X.[Chen-Xi], Xu, X.M.[Xue-Miao], He, S.F.[Sheng-Feng], Zhang, H.D.[Huai-Dong],
Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples,
CVPR24(7109-7118)
IEEE DOI Code:
WWW Link. 2410
Training, Adaptation models, Codes, Text to image, Diffusion processes, Diffusion models, diffusion model BibRef

Xing, X.M.[Xi-Ming], Zhou, H.T.[Hai-Tao], Wang, C.[Chuang], Zhang, J.[Jing], Xu, D.[Dong], Yu, Q.[Qian],
SVGDreamer: Text Guided SVG Generation with Diffusion Model,
CVPR24(4546-4555)
IEEE DOI Code:
WWW Link. 2410
Visualization, Image color analysis, Shape, Text to image, Process control, Diffusion models, vector graphics, SVG, text-to-svg, Diffusion BibRef

Parihar, R.[Rishubh], Bhat, A.[Abhijnya], Basu, A.[Abhipsa], Mallick, S.[Saswat], Kundu, J.N.[Jogendra Nath], Babu, R.V.[R. Venkatesh],
Balancing Act: Distribution-Guided Debiasing in Diffusion Models,
CVPR24(6668-6678)
IEEE DOI 2410
Training, Image synthesis, Semantics, Noise reduction, Text to image, Diffusion models, Data augmentation, Debiasing, diffusion models, generative models BibRef

Ren, J.W.[Jia-Wei], Xu, M.M.[Meng-Meng], Wu, J.C.[Jui-Chieh], Liu, Z.W.[Zi-Wei], Xiang, T.[Tao], Toisoul, A.[Antoine],
Move Anything with Layered Scene Diffusion,
CVPR24(6380-6389)
IEEE DOI 2410
Codes, Layout, Noise reduction, Memory management, Text to image, Process control BibRef

Lu, Y.Z.[Yan-Zuo], Zhang, M.[Manlin], Ma, A.J.[Andy J.], Xie, X.H.[Xiao-Hua], Lai, J.H.[Jian-Huang],
Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis,
CVPR24(6420-6429)
IEEE DOI Code:
WWW Link. 2410
Training, Image synthesis, Semantics, Text to image, Process control, Diffusion models, Generators, Diffusion Model, Person Image Synthesis BibRef

Liu, C.[Chang], Wu, H.N.[Hao-Ning], Zhong, Y.J.[Yu-Jie], Zhang, X.Y.[Xiao-Yun], Wang, Y.F.[Yan-Feng], Xie, W.[Weidi],
Intelligent Grimm: Open-ended Visual Storytelling via Latent Diffusion Models,
CVPR24(6190-6200)
IEEE DOI Code:
WWW Link. 2410
Visualization, Electronic publishing, Computational modeling, Pipelines, Text to image, Image sequences, Diffusion Models BibRef

Wimbauer, F.[Felix], Wu, B.[Bichen], Schoenfeld, E.[Edgar], Dai, X.L.[Xiao-Liang], Hou, J.[Ji], He, Z.J.[Zi-Jian], Sanakoyeu, A.[Artsiom], Zhang, P.Z.[Pei-Zhao], Tsai, S.[Sam], Kohler, J.[Jonas], Rupprecht, C.[Christian], Cremers, D.[Daniel], Vajda, P.[Peter], Wang, J.L.[Jia-Liang],
Cache Me if You Can: Accelerating Diffusion Models through Block Caching,
CVPR24(6211-6220)
IEEE DOI 2410
Image quality, Visualization, Schedules, Image synthesis, Computational modeling, Noise reduction, Noise, diffusion, fid BibRef

Dalva, Y.[Yusuf], Yanardag, P.[Pinar],
NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models,
CVPR24(24209-24218)
IEEE DOI 2410
Image synthesis, Computational modeling, Semantics, Text to image, Contrastive learning, Aerospace electronics, Diffusion models, semantic discovery BibRef

Sun, H.[Haoze], Li, W.B.[Wen-Bo], Liu, J.Z.[Jian-Zhuang], Chen, H.Y.[Hao-Yu], Pei, R.[Renjing], Zou, X.[Xueyi], Yan, Y.[Youliang], Yang, Y.[Yujiu],
CoSeR: Bridging Image and Language for Cognitive Super-Resolution,
CVPR24(25868-25878)
IEEE DOI Code:
WWW Link. 2410
Computational modeling, Superresolution, Semantics, Text to image, Benchmark testing, Diffusion models BibRef

Wang, Z.C.[Zhi-Cai], Wei, L.H.[Long-Hui], Wang, T.[Tan], Chen, H.Y.[He-Yu], Hao, Y.B.[Yan-Bin], Wang, X.[Xiang], He, X.N.[Xiang-Nan], Tian, Q.[Qi],
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model,
CVPR24(17223-17233)
IEEE DOI Code:
WWW Link. 2410
Training, Computational modeling, Text to image, Data augmentation, Diffusion models, diffusion model, data augmentation BibRef

Hsiao, Y.T.[Yi-Ting], Khodadadeh, S.[Siavash], Duarte, K.[Kevin], Lin, W.A.[Wei-An], Qu, H.[Hui], Kwon, M.[Mingi], Kalarot, R.[Ratheesh],
Plug-and-Play Diffusion Distillation,
CVPR24(13743-13752)
IEEE DOI 2410
Training, Visualization, Image synthesis, Computational modeling, Text to image, Diffusion processes, distillation, model efficiency, diffusion model BibRef

Zhan, C.L.[Chen-Lu], Lin, Y.[Yu], Wang, G.A.[Gao-Ang], Wang, H.W.[Hong-Wei], Wu, J.[Jian],
MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant,
CVPR24(11502-11512)
IEEE DOI 2410
Visualization, Adaptation models, Technological innovation, Magnetic resonance imaging, Text to image, Medical services, Diffusion Model BibRef

Kant, Y.[Yash], Siarohin, A.[Aliaksandr], Wu, Z.[Ziyi], Vasilkovsky, M.[Michael], Qian, G.C.[Guo-Cheng], Ren, J.[Jian], Guler, R.A.[Riza Alp], Ghanem, B.[Bernard], Tulyakov, S.[Sergey], Gilitschenski, I.[Igor],
SPAD: Spatially Aware Multi-View Diffusers,
CVPR24(10026-10038)
IEEE DOI 2410
Geometry, Text to image, Transforms, Cameras, Diffusion models, Encoding, novel view synthesis, diffusion BibRef

Starodubcev, N.[Nikita], Baranchuk, D.[Dmitry], Fedorov, A.[Artem], Babenko, A.[Artem],
Your Student is Better than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models,
CVPR24(9275-9285)
IEEE DOI 2410
Adaptation models, Computational modeling, Pipelines, Text to image, Collaboration, Diffusion models, Image and video synthesis and generation BibRef

Mei, K.[Kangfu], Delbracio, M.[Mauricio], Talebi, H.[Hossein], Tu, Z.Z.[Zheng-Zhong], Patel, V.M.[Vishal M.], Milanfar, P.[Peyman],
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation,
CVPR24(9048-9058)
IEEE DOI 2410
Image synthesis, Superresolution, Text to image, Predictive models, Diffusion models BibRef

Ran, L.M.[Ling-Min], Cun, X.D.[Xiao-Dong], Liu, J.W.[Jia-Wei], Zhao, R.[Rui], Zijie, S.[Song], Wang, X.T.[Xin-Tao], Keppo, J.[Jussi], Shou, M.Z.[Mike Zheng],
X- Adapter: Universal Compatibility of Plugins for Upgraded Diffusion Model,
CVPR24(8775-8784)
IEEE DOI Code:
WWW Link. 2410
Training, Connectors, Adaptation models, Noise reduction, Text to image, Diffusion models, Data models BibRef

Liu, Y.J.[Yu-Jian], Zhang, Y.[Yang], Jaakkola, T.[Tommi], Chang, S.Y.[Shi-Yu],
Correcting Diffusion Generation Through Resampling,
CVPR24(8713-8723)
IEEE DOI Code:
WWW Link. 2410
Image quality, Image synthesis, Filtering, Computational modeling, Text to image, Detectors, image generation, diffusion model, particle filtering BibRef

Luo, G.[Grace], Darrell, T.J.[Trevor J.], Wang, O.[Oliver], Goldman, D.B.[Dan B], Holynski, A.[Aleksander],
Readout Guidance: Learning Control from Diffusion Features,
CVPR24(8217-8227)
IEEE DOI Code:
WWW Link. 2410
Training, Head, Image edge detection, Training data, Text to image, Diffusion models, Image and video synthesis and generation BibRef

Wallace, B.[Bram], Dang, M.[Meihua], Rafailov, R.[Rafael], Zhou, L.Q.[Lin-Qi], Lou, A.[Aaron], Purushwalkam, S.[Senthil], Ermon, S.[Stefano], Xiong, C.M.[Cai-Ming], Joty, S.[Shafiq], Naik, N.[Nikhil],
Diffusion Model Alignment Using Direct Preference Optimization,
CVPR24(8228-8238)
IEEE DOI 2410
Training, Learning systems, Visualization, Pipelines, Text to image, Reinforcement learning, Diffusion models, generative, diffusion, dpo BibRef

Yan, J.N.[Jing Nathan], Gu, J.[Jiatao], Rush, A.M.[Alexander M.],
Diffusion Models Without Attention,
CVPR24(8239-8249)
IEEE DOI 2410
Training, Image resolution, Computational modeling, Noise reduction, Text to image, Computer architecture BibRef

Gokaslan, A.[Aaron], Cooper, A.F.[A. Feder], Collins, J.[Jasmine], Seguin, L.[Landan], Jacobson, A.[Austin], Patel, M.[Mihir], Frankle, J.[Jonathan], Stephenson, C.[Cory], Kuleshov, V.[Volodymyr],
Common Canvas: Open Diffusion Models Trained on Creative-Commons Images,
CVPR24(8250-8260)
IEEE DOI 2410
Training, Computational modeling, Transfer learning, Text to image, Diffusion models, Data models, diffusion, copyright, text2image, dataset BibRef

Habibian, A.[Amirhossein], Ghodrati, A.[Amir], Fathima, N.[Noor], Sautiere, G.[Guillaume], Garrepalli, R.[Risheek], Porikli, F.M.[Fatih M.], Petersen, J.[Jens],
Clockwork Diffusion: Efficient Generation With Model-Step Distillation,
CVPR24(8352-8361)
IEEE DOI Code:
WWW Link. 2410
Training, Adaptation models, Runtime, Noise reduction, Semantics, Layout, Text to image, diffusion, efficient diffusion, distillation BibRef

Wang, J.Y.[Jun-Yan], Sun, Z.H.[Zhen-Hong], Tan, Z.Y.[Zhi-Yu], Chen, X.B.[Xuan-Bai], Chen, W.H.[Wei-Hua], Li, H.[Hao], Zhang, C.[Cheng], Song, Y.[Yang],
Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation,
CVPR24(8446-8455)
IEEE DOI Code:
WWW Link. 2410
Accuracy, Image synthesis, Semantics, Text to image, Diffusion processes, Diffusion models BibRef

Feng, Y.T.[Yu-Tong], Gong, B.[Biao], Chen, D.[Di], Shen, Y.J.[Yu-Jun], Liu, Y.[Yu], Zhou, J.[Jingren],
Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following,
CVPR24(4744-4753)
IEEE DOI 2410
Visualization, Protocols, Semantics, Pipelines, Text to image, Diffusion models, Generators, diffusion model, text-to-image BibRef

Lu, S.L.[Shi-Lin], Wang, Z.[Zilan], Li, L.[Leyang], Liu, Y.Z.[Yan-Zhu], Kong, A.W.K.[Adams Wai-Kin],
MACE: Mass Concept Erasure in Diffusion Models,
CVPR24(6430-6440)
IEEE DOI Code:
WWW Link. 2410
Codes, Text to image, Interference, Diffusion models, Generative AI, AI security, diffusion model, concept editing BibRef

Nam, J.[Jisu], Kim, H.[Heesu], Lee, D.[DongJae], Jin, S.[Siyoon], Kim, S.[Seungryong], Chang, S.[Seunggyu],
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization,
CVPR24(8100-8110)
IEEE DOI 2410
Visualization, Computational modeling, Semantics, Noise reduction, Text to image, Diffusion models, Diffusion Models, Semantic Correspondence BibRef

Ham, C.[Cusuh], Fisher, M.[Matthew], Hays, J.[James], Kolkin, N.[Nicholas], Liu, Y.C.[Yu-Chen], Zhang, R.[Richard], Hinz, T.[Tobias],
Personalized Residuals for Concept-Driven Text-to-Image Generation,
CVPR24(8186-8195)
IEEE DOI 2410
Training, Measurement, Computational modeling, Text to image, Graphics processing units, Diffusion models, personalization, diffusion models BibRef

Phung, Q.[Quynh], Ge, S.W.[Song-Wei], Huang, J.B.[Jia-Bin],
Grounded Text-to-Image Synthesis with Attention Refocusing,
CVPR24(7932-7942)
IEEE DOI 2410
Visualization, Large language models, Computational modeling, Layout, Text to image, Benchmark testing, Diffusion models, grounded text-to-image BibRef

Nguyen, T.H.[Thuan Hoang], Tran, A.[Anh],
SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation,
CVPR24(7807-7816)
IEEE DOI 2410
Training, Solid modeling, Text to image, Diffusion models, Neural radiance field, Data models BibRef

Cao, C.J.[Chen-Jie], Cai, Y.[Yunuo], Dong, Q.[Qiaole], Wang, Y.K.[Yi-Kai], Fu, Y.W.[Yan-Wei],
LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion Model,
CVPR24(7705-7715)
IEEE DOI Code:
WWW Link. 2410
Adaptation models, Image synthesis, Text to image, Diffusion models, Filling, Diffusion Model, Image Inpainting BibRef

Mo, S.C.[Si-Cheng], Mu, F.Z.[Fang-Zhou], Lin, K.H.[Kuan Heng], Liu, Y.L.[Yan-Li], Guan, B.[Bochen], Li, Y.[Yin], Zhou, B.[Bolei],
FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition,
CVPR24(7465-7475)
IEEE DOI Code:
WWW Link. 2410
Visualization, Text to image, Aerospace electronics, Diffusion models, Feature extraction, Controllable generation BibRef

Huang, M.Q.[Meng-Qi], Mao, Z.D.[Zhen-Dong], Liu, M.C.[Ming-Cong], He, Q.[Qian], Zhang, Y.D.[Yong-Dong],
RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization,
CVPR24(7476-7485)
IEEE DOI 2410
Training, Visualization, Adaptive systems, Limiting, Navigation, Text to image, text-to-image generation, diffusion models BibRef

Mahajan, S.[Shweta], Rahman, T.[Tanzila], Yi, K.M.[Kwang Moo], Sigal, L.[Leonid],
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models,
CVPR24(6808-6817)
IEEE DOI 2410
Vocabulary, Visualization, Image synthesis, Semantics, Text to image, Diffusion processes, Diffusion models BibRef

Zeng, Y.[Yu], Patel, V.M.[Vishal M.], Wang, H.C.[Hao-Chen], Huang, X.[Xun], Wang, T.C.[Ting-Chun], Liu, M.Y.[Ming-Yu], Balaji, Y.[Yogesh],
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation,
CVPR24(6786-6795)
IEEE DOI 2410
Adaptation models, Computational modeling, Text to image, Benchmark testing, Diffusion models, image generation BibRef

Gong, B.[Biao], Huang, S.[Siteng], Feng, Y.T.[Yu-Tong], Zhang, S.W.[Shi-Wei], Li, Y.[Yuyuan], Liu, Y.[Yu],
Check, Locate, Rectify: A Training-Free Layout Calibration System for Text- to- Image Generation,
CVPR24(6624-6634)
IEEE DOI Code:
WWW Link. 2410
Image synthesis, Layout, Pipelines, Text to image, Benchmark testing, Diffusion models, Generators, text-to-image generation, training-free BibRef

Menon, S.[Sachit], Misra, I.[Ishan], Girdhar, R.[Rohit],
Generating Illustrated Instructions,
CVPR24(6274-6284)
IEEE DOI 2410
Measurement, Visualization, Large language models, Text to image, Diffusion models, diffusion, multimodal, text-to-image BibRef

Yang, J.Y.[Jing-Yuan], Feng, J.W.[Jia-Wei], Huang, H.[Hui],
EmoGen: Emotional Image Content Generation with Text-to-Image Diffusion Models,
CVPR24(6358-6368)
IEEE DOI Code:
WWW Link. 2410
Measurement, Visualization, Image color analysis, Image synthesis, Semantics, Text to image BibRef

Yang, Y.J.[Yi-Jun], Gao, R.[Ruiyuan], Wang, X.[Xiaosen], Ho, T.Y.[Tsung-Yi], Xu, N.[Nan], xu, Q.[Qiang],
MMA-Diffusion: MultiModal Attack on Diffusion Models,
CVPR24(7737-7746)
IEEE DOI Code:
WWW Link. 2410
Visualization, Filters, Current measurement, Computational modeling, Text to image, Diffusion models, Adversarial attack BibRef

Hedlin, E.[Eric], Sharma, G.[Gopal], Mahajan, S.[Shweta], He, X.Z.[Xing-Zhe], Isack, H.[Hossam], Kar, A.[Abhishek], Rhodin, H.[Helge], Tagliasacchi, A.[Andrea], Yi, K.M.[Kwang Moo],
Unsupervised Keypoints from Pretrained Diffusion Models,
CVPR24(22820-22830)
IEEE DOI 2410
Codes, Noise reduction, Neural networks, Text to image, Diffusion models, Diffusion models, emergent understandings BibRef

Sato, T.[Takami], Yue, J.[Justin], Chen, N.[Nanze], Wang, N.F.[Ning-Fei], Chen, Q.A.[Qi Alfred],
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models,
CVPR24(24635-24644)
IEEE DOI 2410
Noise reduction, Text to image, Artificial neural networks, Visual systems, Predictive models, Diffusion models, Safety BibRef

Gandikota, K.V.[Kanchana Vaishnavi], Chandramouli, P.[Paramanand],
Text-Guided Explorable Image Super-Resolution,
CVPR24(25900-25911)
IEEE DOI 2410
Training, Degradation, Superresolution, Semantics, Text to image, Diffusion models, diffusion, text-to-image, super-resolution BibRef

Mo, W.[Wenyi], Zhang, T.Y.[Tian-Yu], Bai, Y.[Yalong], Su, B.[Bing], Wen, J.R.[Ji-Rong], Yang, Q.[Qing],
Dynamic Prompt Optimizing for Text-to-Image Generation,
CVPR24(26617-26626)
IEEE DOI 2410
Uniform resource locators, Training, Image synthesis, Semantics, Refining, Text to image, Reinforcement learning, Diffusion Model BibRef

Smith, J.S.[James Seale], Hsu, Y.C.[Yen-Chang], Kira, Z.[Zsolt], Shen, Y.L.[Yi-Lin], Jin, H.X.[Hong-Xia],
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters,
WhatNext24(1744-1754)
IEEE DOI 2410
Training, Costs, Text to image, Benchmark testing, Diffusion models, text-to-image customization BibRef

Zhang, G.[Gong], Wang, K.[Kai], Xu, X.Q.[Xing-Qian], Wang, Z.Y.[Zhang-Yang], Shi, H.[Humphrey],
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models,
WhatNext24(1755-1764)
IEEE DOI 2410
Adaptation models, Privacy, Accuracy, Computational modeling, Knowledge based systems, Text to image, Safety, text-to-image, concept forgetting BibRef

Tudosiu, P.D.[Petru-Daniel], Yang, Y.X.[Yong-Xin], Zhang, S.F.[Shi-Feng], Chen, F.[Fei], McDonagh, S.[Steven], Lampouras, G.[Gerasimos], Iacobacci, I.[Ignacio], Parisot, S.[Sarah],
MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation,
CVPR24(22413-22422)
IEEE DOI Code:
WWW Link. 2410
Training, Image segmentation, Annotations, Pipelines, Text to image, Image decomposition, Software, Dataset, Text-to-Image Generation, Diffusion Models BibRef

Wang, F.F.[Fei-Fei], Tan, Z.T.[Zhen-Tao], Wei, T.Y.[Tian-Yi], Wu, Y.[Yue], Huang, Q.D.[Qi-Dong],
SimAC: A Simple Anti-Customization Method for Protecting Face Privacy Against Text-to-Image Synthesis of Diffusion Models,
CVPR24(12047-12056)
IEEE DOI Code:
WWW Link. 2410
Training, Privacy, Adaptation models, Visualization, Frequency-domain analysis, Noise reduction, Text to image, face privacy BibRef

Pang, L.[Lianyu], Yin, J.[Jian], Xie, H.R.[Hao-Ran], Wang, Q.[Qiping], Li, Q.[Qing], Mao, X.D.[Xu-Dong],
Cross Initialization for Face Personalization of Text-to-Image Models,
CVPR24(8393-8403)
IEEE DOI Code:
WWW Link. 2410
Face recognition, Computational modeling, Text to image, Diffusion models, Surges, Image reconstruction BibRef

Xu, X.Q.[Xing-Qian], Guo, J.Y.[Jia-Yi], Wang, Z.Y.[Zhang-Yang], Huang, G.[Gao], Essa, I.[Irfan], Shi, H.[Humphrey],
Prompt-Free Diffusion: Taking 'Text' Out of Text-to-Image Diffusion Models,
CVPR24(8682-8692)
IEEE DOI 2410
Visualization, Pain, Image synthesis, Computational modeling, Semantics, Noise, Text to image, Generative Model, Image Editing, Text-to-Image BibRef

Qi, T.H.[Tian-Hao], Fang, S.C.[Shan-Cheng], Wu, Y.Z.[Yan-Ze], Xie, H.T.[Hong-Tao], Liu, J.W.[Jia-Wei], Chen, L.[Lang], He, Q.[Qian], Zhang, Y.D.[Yong-Dong],
DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations,
CVPR24(8693-8702)
IEEE DOI Code:
WWW Link. 2410
Learning systems, Visualization, Semantics, Text to image, Feature extraction, Diffusion models BibRef

Li, H.[Hang], Shen, C.Z.[Cheng-Zhi], Torr, P.[Philip], Tresp, V.[Volker], Gu, J.D.[Jin-Dong],
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation,
CVPR24(12006-12016)
IEEE DOI Code:
WWW Link. 2410
Ethics, Prevention and mitigation, Semantics, Text to image, Diffusion models, Vectors, Text-to-Image Generation, Explainability and Transparency BibRef

Li, H.[Hao], Zou, Y.[Yang], Wang, Y.[Ying], Majumder, O.[Orchid], Xie, Y.S.[Yu-Sheng], Manmatha, R., Swaminathan, A.[Ashwin], Tu, Z.W.[Zhuo-Wen], Ermon, S.[Stefano], Soatto, S.[Stefano],
On the Scalability of Diffusion-based Text-to-Image Generation,
CVPR24(9400-9409)
IEEE DOI 2410
Training, Costs, Systematics, Computational modeling, Scalability, Noise reduction, Text to image, diffusion models, text-to-image, Transformers BibRef

Guo, X.[Xiefan], Liu, J.L.[Jin-Lin], Cui, M.M.[Miao-Miao], Li, J.[Jiankai], Yang, H.Y.[Hong-Yu], Huang, D.[Di],
Initno: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization,
CVPR24(9380-9389)
IEEE DOI Code:
WWW Link. 2410
Navigation, Instruments, Noise, Pipelines, Text to image, Aerospace electronics BibRef

Shen, D.[Dazhong], Song, G.L.[Guang-Lu], Xue, Z.[Zeyue], Wang, F.Y.[Fu-Yun], Liu, Y.[Yu],
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance,
CVPR24(9370-9379)
IEEE DOI Code:
WWW Link. 2410
Image quality, Training, Costs, Semantic segmentation, Semantics, Noise reduction, Text-to-Image Diffusion Models, Semantic Segmentation BibRef

Zhou, Y.F.[Yu-Fan], Zhang, R.[Ruiyi], Gu, J.X.[Jiu-Xiang], Sun, T.[Tong],
Customization Assistant for Text-to-image Generation,
CVPR24(9182-9191)
IEEE DOI 2410
Training, Large language models, Text to image, Diffusion models, Testing BibRef

Patel, M.[Maitreya], Kim, C.[Changhoon], Cheng, S.[Sheng], Baral, C.[Chitta], Yang, Y.Z.[Ye-Zhou],
ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations,
CVPR24(9069-9078)
IEEE DOI Code:
WWW Link. 2410
Training, Image coding, Image synthesis, Computational modeling, Text to image, Contrastive learning, Diffusion models, ECLIPSE BibRef

Meral, T.H.S.[Tuna Han Salih], Simsar, E.[Enis], Tombari, F.[Federico], Yanardag, P.[Pinar],
CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models,
CVPR24(9005-9014)
IEEE DOI 2410
Source coding, Computational modeling, Semantics, Text to image, Benchmark testing, Diffusion models, Semantic fidelity BibRef

Jiang, Z.Z.[Zeyin-Zi], Mao, C.J.[Chao-Jie], Pan, Y.L.[Yu-Lin], Han, Z.[Zhen], Zhang, J.F.[Jing-Feng],
SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing,
CVPR24(8995-9004)
IEEE DOI Code:
WWW Link. 2410
Training, Adaptation models, Tuners, Image synthesis, Text to image, Diffusion models, Diffusion model, Text-to-image generation, Efficient Tuning BibRef

Kim, C.[Changhoon], Min, K.[Kyle], Patel, M.[Maitreya], Cheng, S.[Sheng], Yang, Y.Z.[Ye-Zhou],
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models,
CVPR24(8974-8983)
IEEE DOI Code:
WWW Link. 2410
Solid modeling, Computational modeling, Prevention and mitigation, Text to image, Modulation, Generative Model BibRef

Shirakawa, T.[Takahiro], Uchida, S.[Seiichi],
NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging,
CVPR24(8921-8930)
IEEE DOI Code:
WWW Link. 2410
Image synthesis, Image edge detection, Noise, Layout, Noise reduction, Merging, Text to image, diffusion model, text-to-image generation BibRef

Kwon, G.[Gihyun], Jenni, S.[Simon], Li, D.Z.[Ding-Zeyu], Lee, J.Y.[Joon-Young], Ye, J.C.[Jong Chul], Heilbron, F.C.[Fabian Caba],
Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models,
CVPR24(8880-8889)
IEEE DOI 2410
Fuses, Semantics, Text to image, Diffusion models, Optimization, Text-to-image Model, Multi-concept BibRef

Sueyoshi, K.[Kota], Matsubara, T.[Takashi],
Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models,
CVPR24(8651-8660)
IEEE DOI 2410
Image quality, Image synthesis, Natural languages, Layout, Text to image, Diffusion models, text-to-image generation, attention guidance BibRef

Kim, J.[Jimyeong], Park, J.[Jungwon], Rhee, W.[Wonjong],
Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization,
CVPR24(8312-8322)
IEEE DOI 2410
Reflection, Text-to-Image Generation, Text-to-Image Diffusion, Text-to-image Personalization BibRef

Koley, S.[Subhadeep], Bhunia, A.K.[Ayan Kumar], Sain, A.[Aneeshan], Chowdhury, P.N.[Pinaki Nath], Xiang, T.[Tao], Song, Y.Z.[Yi-Zhe],
Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers,
CVPR24(16826-16837)
IEEE DOI 2410
Visualization, Adaptation models, Shape, Pipelines, Image retrieval, Text to image, Benchmark testing BibRef

Zhao, L.[Lin], Zhao, T.C.[Tian-Chen], Lin, Z.[Zinan], Ning, X.F.[Xue-Fei], Dai, G.H.[Guo-Hao], Yang, H.Z.[Hua-Zhong], Wang, Y.[Yu],
FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models,
CVPR24(16122-16131)
IEEE DOI Code:
WWW Link. 2410
Training, Schedules, Quantization (signal), Computational modeling, Text to image, Training data, Diffusion models BibRef

Liu, H.[Hanwen], Sun, Z.C.[Zhi-Cheng], Mu, Y.D.[Ya-Dong],
Countering Personalized Text-to-Image Generation with Influence Watermarks,
CVPR24(12257-12267)
IEEE DOI 2410
Training, Visualization, Computational modeling, Semantics, Noise, Text to image, Watermarking, diffusion models, watermarks BibRef

Azarian, K.[Kambiz], Das, D.[Debasmit], Hou, Q.Q.[Qi-Qi], Porikli, F.M.[Fatih M.],
Segmentation-Free Guidance for Text-to-Image Diffusion Models,
GCV24(7520-7529)
IEEE DOI 2410
Image segmentation, Costs, Image color analysis, Text to image, Focusing, Switches BibRef

Li, C.[Cheng], Qi, Y.[Yali], Zeng, Q.[Qingtao], Lu, L.[Likun],
Comparison of Image Generation methods based on Diffusion Models,
CVIDL23(1-4)
IEEE DOI 2403
Training, Deep learning, Learning systems, Image synthesis, Computational modeling, Diffusion models BibRef

Xu, Y.[Yanwu], Zhao, Y.[Yang], Xiao, Z.S.[Zhi-Sheng], Hou, T.B.[Ting-Bo],
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs,
CVPR24(8196-8206)
IEEE DOI 2410
Image synthesis, Computational modeling, Text to image, Propulsion, Diffusion models, Hybrid power systems, diffusion models, GANs BibRef

Huang, R.H.[Run-Hui], Han, J.H.[Jian-Hua], Lu, G.S.[Guan-Song], Liang, X.D.[Xiao-Dan], Zeng, Y.H.[Yi-Han], Zhang, W.[Wei], Xu, H.[Hang],
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability,
ICCV23(15667-15677)
IEEE DOI 2401
BibRef

Yang, X.Y.[Xing-Yi], Wang, X.C.[Xin-Chao],
Diffusion Model as Representation Learner,
ICCV23(18892-18903)
IEEE DOI Code:
WWW Link. 2401
BibRef

Nair, N.G.[Nithin Gopalakrishnan], Cherian, A.[Anoop], Lohit, S.[Suhas], Wang, Y.[Ye], Koike-Akino, T.[Toshiaki], Patel, V.M.[Vishal M.], Marks, T.K.[Tim K.],
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis,
ICCV23(20793-20803)
IEEE DOI 2401
BibRef

Wang, Z.D.[Zhen-Dong], Bao, J.M.[Jian-Min], Zhou, W.G.[Wen-Gang], Wang, W.[Weilun], Hu, H.[Hezhen], Chen, H.[Hong], Li, H.Q.[Hou-Qiang],
DIRE for Diffusion-Generated Image Detection,
ICCV23(22388-22398)
IEEE DOI Code:
WWW Link. 2401
BibRef

Hong, S.[Susung], Lee, G.[Gyuseong], Jang, W.[Wooseok], Kim, S.[Seungryong],
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance,
ICCV23(7428-7437)
IEEE DOI 2401
BibRef

Feng, B.T.[Berthy T.], Smith, J.[Jamie], Rubinstein, M.[Michael], Chang, H.[Huiwen], Bouman, K.L.[Katherine L.], Freeman, W.T.[William T.],
Score-Based Diffusion Models as Principled Priors for Inverse Imaging,
ICCV23(10486-10497)
IEEE DOI 2401
BibRef

Yang, B.B.[Bin-Bin], Luo, Y.[Yi], Chen, Z.L.[Zi-Liang], Wang, G.R.[Guang-Run], Liang, X.D.[Xiao-Dan], Lin, L.[Liang],
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts,
ICCV23(22612-22622)
IEEE DOI 2401
BibRef

Levi, E.[Elad], Brosh, E.[Eli], Mykhailych, M.[Mykola], Perez, M.[Meir],
DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer,
ICCV23(2106-2115)
IEEE DOI Code:
WWW Link. 2401
BibRef

Couairon, G.[Guillaume], Careil, M.[Marlène], Cord, M.[Matthieu], Lathuilière, S.[Stéphane], Verbeek, J.[Jakob],
Zero-shot spatial layout conditioning for text-to-image diffusion models,
ICCV23(2174-2183)
IEEE DOI 2401
BibRef

Zhang, L.[Lvmin], Rao, A.[Anyi], Agrawala, M.[Maneesh],
Adding Conditional Control to Text-to-Image Diffusion Models,
ICCV23(3813-3824)
IEEE DOI 2401
Award, Marr Price, ICCV. BibRef

Zhao, W.L.[Wen-Liang], Rao, Y.M.[Yong-Ming], Liu, Z.[Zuyan], Liu, B.[Benlin], Zhou, J.[Jie], Lu, J.W.[Ji-Wen],
Unleashing Text-to-Image Diffusion Models for Visual Perception,
ICCV23(5706-5716)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wu, Q.C.[Qiu-Cheng], Liu, Y.J.[Yu-Jian], Zhao, H.[Handong], Bui, T.[Trung], Lin, Z.[Zhe], Zhang, Y.[Yang], Chang, S.Y.[Shi-Yu],
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis,
ICCV23(7732-7742)
IEEE DOI 2401
BibRef

Zhao, J.[Jing], Zheng, H.[Heliang], Wang, C.[Chaoyue], Lan, L.[Long], Yang, W.J.[Wen-Jing],
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models,
ICCV23(22535-22545)
IEEE DOI Code:
WWW Link. 2401
BibRef

Kumari, N.[Nupur], Zhang, B.L.[Bing-Liang], Wang, S.Y.[Sheng-Yu], Shechtman, E.[Eli], Zhang, R.[Richard], Zhu, J.Y.[Jun-Yan],
Ablating Concepts in Text-to-Image Diffusion Models,
ICCV23(22634-22645)
IEEE DOI 2401
BibRef

Schwartz, I.[Idan], Snæbjarnarson, V.[Vésteinn], Chefer, H.[Hila], Belongie, S.[Serge], Wolf, L.[Lior], Benaim, S.[Sagie],
Discriminative Class Tokens for Text-to-Image Diffusion Models,
ICCV23(22668-22678)
IEEE DOI Code:
WWW Link. 2401
BibRef

Patashnik, O.[Or], Garibi, D.[Daniel], Azuri, I.[Idan], Averbuch-Elor, H.[Hadar], Cohen-Or, D.[Daniel],
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models,
ICCV23(22994-23004)
IEEE DOI 2401
BibRef

Schramowski, P.[Patrick], Brack, M.[Manuel], Deiseroth, B.[Björn], Kersting, K.[Kristian],
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models,
CVPR23(22522-22531)
IEEE DOI 2309
BibRef

Chen, C.[Chen], Liu, D.[Daochang], Ma, S.Q.[Si-Qi], Nepal, S.[Surya], Xu, C.[Chang],
Private Image Generation with Dual-Purpose Auxiliary Classifier,
CVPR23(20361-20370)
IEEE DOI 2309
BibRef

Zhang, Q.S.[Qin-Sheng], Song, J.M.[Jia-Ming], Huang, X.[Xun], Chen, Y.X.[Yong-Xin], Liu, M.Y.[Ming-Yu],
DiffCollage: Parallel Generation of Large Content with Diffusion Models,
CVPR23(10188-10198)
IEEE DOI 2309
BibRef

Phung, H.[Hao], Dao, Q.[Quan], Tran, A.[Anh],
Wavelet Diffusion Models are fast and scalable Image Generators,
CVPR23(10199-10208)
IEEE DOI 2309
BibRef

Kim, S.W.[Seung Wook], Brown, B.[Bradley], Yin, K.X.[Kang-Xue], Kreis, K.[Karsten], Schwarz, K.[Katja], Li, D.[Daiqing], Rombach, R.[Robin], Torralba, A.[Antonio], Fidler, S.[Sanja],
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models,
CVPR23(8496-8506)
IEEE DOI 2309
BibRef

Zhu, Y.Z.[Yuan-Zhi], Li, Z.H.[Zhao-Hai], Wang, T.W.[Tian-Wei], He, M.C.[Meng-Chao], Yao, C.[Cong],
Conditional Text Image Generation with Diffusion Models,
CVPR23(14235-14244)
IEEE DOI 2309
BibRef

Zhou, Y.F.[Yu-Fan], Liu, B.C.[Bing-Chen], Zhu, Y.Z.[Yi-Zhe], Yang, X.[Xiao], Chen, C.Y.[Chang-You], Xu, J.H.[Jin-Hui],
Shifted Diffusion for Text-to-image Generation,
CVPR23(10157-10166)
IEEE DOI 2309
BibRef

Li, M.H.[Mu-Heng], Duan, Y.Q.[Yue-Qi], Zhou, J.[Jie], Lu, J.W.[Ji-Wen],
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion,
CVPR23(12642-12651)
IEEE DOI 2309
BibRef

Chai, S.[Shang], Zhuang, L.S.[Lian-Sheng], Yan, F.Y.[Feng-Ying],
LayoutDM: Transformer-based Diffusion Model for Layout Generation,
CVPR23(18349-18358)
IEEE DOI 2309
BibRef

Wu, Q.C.[Qiu-Cheng], Liu, Y.J.[Yu-Jian], Zhao, H.[Handong], Kale, A.[Ajinkya], Bui, T.[Trung], Yu, T.[Tong], Lin, Z.[Zhe], Zhang, Y.[Yang], Chang, S.Y.[Shi-Yu],
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models,
CVPR23(1900-1910)
IEEE DOI 2309
BibRef

Jain, A.[Ajay], Xie, A.[Amber], Abbeel, P.[Pieter],
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models,
CVPR23(1911-1920)
IEEE DOI 2309
BibRef

Kumari, N.[Nupur], Zhang, B.L.[Bing-Liang], Zhang, R.[Richard], Shechtman, E.[Eli], Zhu, J.Y.[Jun-Yan],
Multi-Concept Customization of Text-to-Image Diffusion,
CVPR23(1931-1941)
IEEE DOI 2309
BibRef

Hui, M.[Mude], Zhang, Z.Z.[Zhi-Zheng], Zhang, X.Y.[Xiao-Yi], Xie, W.X.[Wen-Xuan], Wang, Y.W.[Yu-Wang], Lu, Y.[Yan],
Unifying Layout Generation with a Decoupled Diffusion Model,
CVPR23(1942-1951)
IEEE DOI 2309
BibRef

Ruiz, N.[Nataniel], Li, Y.Z.[Yuan-Zhen], Jampani, V.[Varun], Pritch, Y.[Yael], Rubinstein, M.[Michael], Aberman, K.[Kfir],
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation,
CVPR23(22500-22510)
IEEE DOI 2309
BibRef

Zheng, G.C.[Guang-Cong], Zhou, X.P.[Xian-Pan], Li, X.W.[Xue-Wei], Qi, Z.A.[Zhong-Ang], Shan, Y.[Ying], Li, X.[Xi],
LayoutDiffusion: Controllable Diffusion Model for Layout-to-Image Generation,
CVPR23(22490-22499)
IEEE DOI 2309
BibRef

Liu, X.H.[Xi-Hui], Park, D.H.[Dong Huk], Azadi, S.[Samaneh], Zhang, G.[Gong], Chopikyan, A.[Arman], Hu, Y.X.[Yu-Xiao], Shi, H.[Humphrey], Rohrbach, A.[Anna], Darrell, T.J.[Trevor J.],
More Control for Free! Image Synthesis with Semantic Diffusion Guidance,
WACV23(289-299)
IEEE DOI 2302
Image synthesis, Annotations, Image matching, Semantics, Noise reduction, Probabilistic logic, Vision + language and/or other modalities BibRef

Pan, Z.H.[Zhi-Hong], Zhou, X.[Xin], Tian, H.[Hao],
Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation,
WACV23(4450-4460)
IEEE DOI 2302
Graphics, Training, Technological innovation, Adaptation models, Adaptive systems, Art, Navigation, Vision + language and/or other modalities BibRef

Gu, S.Y.[Shu-Yang], Chen, D.[Dong], Bao, J.M.[Jian-Min], Wen, F.[Fang], Zhang, B.[Bo], Chen, D.D.[Dong-Dong], Yuan, L.[Lu], Guo, B.N.[Bai-Ning],
Vector Quantized Diffusion Model for Text-to-Image Synthesis,
CVPR22(10686-10696)
IEEE DOI 2210
Image quality, Image resolution, Image synthesis, Computational modeling, Noise reduction, Vision+language BibRef

Jing, B.[Bowen], Corso, G.[Gabriele], Berlinghieri, R.[Renato], Jaakkola, T.[Tommi],
Subspace Diffusion Generative Models,
ECCV22(XXIII:274-289).
Springer DOI 2211
BibRef

Han, L.G.[Li-Gong], Li, Y.X.[Yin-Xiao], Zhang, H.[Han], Milanfar, P.[Peyman], Metaxas, D.N.[Dimitris N.], Yang, F.[Feng],
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning,
ICCV23(7289-7300)
IEEE DOI 2401
BibRef

Nair, N.G.[Nithin Gopalakrishnan], Bandara, W.G.C.[Wele Gedara Chaminda], Patel, V.M.[Vishal M.],
Unite and Conquer: Plug and Play Multi-Modal Synthesis Using Diffusion Models,
CVPR23(6070-6079)
IEEE DOI 2309
BibRef

Zheng, G.[Guangcong], Li, S.M.[Sheng-Ming], Wang, H.[Hui], Yao, T.P.[Tai-Ping], Chen, Y.[Yang], Ding, S.H.[Shou-Hong], Li, X.[Xi],
Entropy-Driven Sampling and Training Scheme for Conditional Diffusion Generation,
ECCV22(XXII:754-769).
Springer DOI 2211
BibRef

Sehwag, V.[Vikash], Hazirbas, C.[Caner], Gordo, A.[Albert], Ozgenel, F.[Firat], Ferrer, C.C.[Cristian Canton],
Generating High Fidelity Data from Low-density Regions using Diffusion Models,
CVPR22(11482-11491)
IEEE DOI 2210
Manifolds, Computational modeling, Diffusion processes, Data models, Representation learning BibRef

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Vision Transformers for Image Generation and Image Synthesis .