4.5 Diffusion Process, Diffusion Operators, Mechanism, or Technique

Jiang, P., Pan, Z., Tu, C., Vasconcelos, N., Chen, B., Peng, J.,
Super Diffusion for Salient Object Detection,
IP(29), 2020, pp. 2903-2917.
IEEE DOI 2002
Object detection, Feature extraction, Diffusion processes, Laplace equations, Saliency detection, Robustness, Task analysis, spectral clustering BibRef

Arridge, S.R., Hauptmann, A.,
Networks for Nonlinear Diffusion Problems in Imaging,
JMIV(62), No. 3, April 2020, pp. 471-487.
Springer DOI 2004
BibRef

Hua, F., Nassif, R., Richard, C., Wang, H., Sayed, A.H.,
Diffusion LMS With Communication Delays: Stability and Performance Analysis,
SPLetters(27), 2020, pp. 730-734.
IEEE DOI 2005
Communication delays, distributed estimation, diffusion LMS, performance analysis, stability BibRef

Croitoru, F.A.[Florinel-Alin], Hondru, V.[Vlad], Ionescu, R.T.[Radu Tudor], Shah, M.[Mubarak],
Diffusion Models in Vision: A Survey,
PAMI(45), No. 9, September 2023, pp. 10850-10869.
IEEE DOI 2309
Survey, Diffusion. BibRef

Ma, J.J.[Jia-Jun], Xu, F.[Fei], Rong, X.F.[Xiao-Feng],
Discriminative multi-label feature selection with adaptive graph diffusion,
PR(148), 2024, pp. 110154.
Elsevier DOI 2402
Multi-label learning, Feature selection, Adaptive graph diffusion, Sparse regularization BibRef

Hu, H.[Hong], Li, Z.Q.[Zhuo-Qun], Zhao, H.V.[H. Vicky],
Understanding Correlated Information Diffusion: From a Graphical Evolutionary Game Perspective,
SPLetters(31), 2024, pp. 2820-2824.
IEEE DOI 2410
Information diffusion, Games, Analytical models, Mathematical models, Correlation coefficient, Game theory, social networks BibRef

Tian, Y.J.[Yun-Jie], Xie, L.X.[Ling-Xi], Qiu, J.H.[Ji-Hao], Jiao, J.B.[Jian-Bin], Wang, Y.W.[Yao-Wei], Tian, Q.[Qi], Ye, Q.X.[Qi-Xiang],
Fast-iTPN: Integrally Pre-Trained Transformer Pyramid Network With Token Migration,
PAMI(46), No. 12, December 2024, pp. 9766-9779.
IEEE DOI 2411
Task analysis, Neck, Computational modeling, Computational efficiency, Image reconstruction, Object detection, transformer pyramid networks BibRef

Tian, Y.J.[Yun-Jie], Xie, L.X.[Ling-Xi], Wang, Z.Z.[Zhao-Zhi], Wei, L.H.[Long-Hui], Zhang, X.P.[Xiao-Peng], Jiao, J.B.[Jian-Bin], Wang, Y.W.[Yao-Wei], Tian, Q.[Qi], Ye, Q.X.[Qi-Xiang],
Integrally Pre-Trained Transformer Pyramid Networks,
CVPR23(18610-18620)
IEEE DOI 2309
BibRef

Wang, G.H.[Guo-Hua], Wu, J.X.[Jian-Xin],
Practical Network Acceleration With Tiny Sets: Hypothesis, Theory, and Algorithm,
PAMI(46), No. 12, December 2024, pp. 9272-9285.
IEEE DOI 2411
BibRef
Earlier:
Practical Network Acceleration with Tiny Sets,
CVPR23(20331-20340)
IEEE DOI 2309
Training, Accuracy, Training data, Image coding, Optimization, Data privacy, Convex functions, Deep neural network, image classification BibRef

Giuliari, F.[Francesco], Scarpellini, G.[Gianluca], Fiorini, S.[Stefano], James, S.[Stuart], Morerio, P.[Pietro], Wang, Y.M.[Yi-Ming], del Bue, A.[Alessio],
Positional diffusion: Graph-based diffusion models for set ordering,
PRL(186), 2024, pp. 272-278.
Elsevier DOI Code:
WWW Link. 2412
Graph neural networks, Diffusion probabilistic models, Positional reasoning BibRef

Wei, Y.X.[Yong-Xian], Hu, Z.X.[Zi-Xuan], Shen, L.[Li], Wang, Z.[Zhenyi], Li, L.[Lei], Li, Y.[Yu], Yuan, C.[Chun],
Meta-Learning Without Data via Unconditional Diffusion Models,
CirSysVideo(34), No. 11, November 2024, pp. 11874-11885.
IEEE DOI Code:
WWW Link. 2412
Diffusion models, Task analysis, Data models, Training, Testing, Metalearning, Few shot learning, Meta-learning without data, privacy-preserving data mining BibRef

Chan, S.[Stanley],
Tutorial on Diffusion Models for Imaging and Vision,
FTCGV(16), No. 4, 2024, pp. 322-471.
DOI Link 2501
Survey, Diffusion Models. Image and video retrieval, Tracking,` BibRef

Zhen, T.[Ting], Cao, J.[Jiale], Sun, X.B.[Xue-Bin], Pan, J.[Jing], Ji, Z.[Zhong], Pang, Y.W.[Yan-Wei],
Token-aware and step-aware acceleration for Stable Diffusion,
PR(164), 2025, pp. 111479.
Elsevier DOI 2504
Image generation, Transformer, Stable Diffusion, Token merging BibRef

Yang, Y.J.[Yi-Jun], Fu, H.Z.[Hua-Zhu], Aviles-Rivero, A.I.[Angelica I.], Xing, Z.[Zhaohu], Zhu, L.[Lei],
DiffMIC-v2: Medical Image Classification via Improved Diffusion Network,
MedImg(44), No. 5, May 2025, pp. 2244-2255.
IEEE DOI Code:
WWW Link. 2505
Medical diagnostic imaging, Image classification, Diffusion models, Diffusion processes, Noise, Noise reduction, diabetic retinopathy BibRef

de-Sousa-Ribeiro, F.[Fabio], Glocker, B.[Ben],
Demystifying Variational Diffusion Models,
FTCGV(17), No. 2, 2025, pp. 76-170.
DOI Link 2505
Survey, Diffusion. BibRef

Zhang, W.Y.[Wen-Yu], Khojasteh, M.J.[Mohammad J.], Atanasov, N.A.[Nikolay A.], Meyer, F.[Florian],
Importance Sampling With Stochastic Particle Flow and Diffusion Optimization,
SPLetters(32), 2025, pp. 2304-2308.
IEEE DOI 2506
Stochastic processes, Proposals, Probability density function, Particle measurements, Atmospheric measurements, stochastic process BibRef

Shamsi, M.[Mahdi], Marvasti, F.[Farokh],
Multi-Task Diffusion With Masked Measurements,
SPLetters(32), 2025, pp. 3490-3494.
IEEE DOI 2510
Vectors, Estimation, Costs, Signal processing algorithms, Clustering algorithms, Sensors, Cost function, Convergence, partial observation BibRef

Jia, Z.W.[Zhi-Wei], Nan, Y.S.[Yue-Song], Zhao, H.X.[Hui-Xi], Liu, G.[Gengdai],
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward,
CVPR25(12912-12922)
IEEE DOI 2508
Image synthesis, Computational modeling, Reinforcement learning, Diffusion models, Data models, Space exploration, Optimization BibRef

Xu, L.[Long], Wang, J.[Jiakai], Hao, H.J.[Hao-Jie], Qin, H.T.[Hao-Tong], Zhao, J.[Jiejie], Liu, X.L.[Xiang-Long],
Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization,
CVPR25(13414-13423)
IEEE DOI 2508
Correlation, Image synthesis, Perturbation methods, Computational modeling, Semantics, Resists, Diffusion models, global-local perception BibRef

Wang, K.[Kai], Shi, M.J.[Ming-Jia], Zhou, Y.K.[Yu-Kun], Li, Z.[Zekai], Yuan, Z.H.[Zhi-Hang], Shang, Y.Z.[Yu-Zhang], Peng, X.J.[Xiao-Jiang], Zhang, H.W.[Han-Wang], You, Y.[Yang],
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training,
CVPR25(12934-12944)
IEEE DOI 2508
Training, Costs, Image synthesis, Diffusion models, Robustness, Convergence, efficient deep learning, diffusion model BibRef

Ravishankar, R.[Rahul], Patel, Z.[Zeeshan], Rajasegaran, J.[Jathushan], Malik, J.[Jitendra],
Scaling Properties of Diffusion Models For Perceptual Tasks,
CVPR25(12945-12954)
IEEE DOI 2508
Training, Image segmentation, Translation, Image resolution, Computational modeling, Diffusion models, Iterative methods, generative models BibRef

Simsar, E.[Enis], Hofmann, T.[Thomas], Tombari, F.[Federico], Yanardag, P.[Pinar],
LoRACLR: Contrastive Adaptation for Customization of Diffusion Models,
CVPR25(13189-13198)
IEEE DOI 2508
Training, Adaptation models, Image synthesis, Computational modeling, Merging, Text to image, Interference, personalized image synthesis BibRef

Liang, Z.[Zhanhao], Yuan, Y.H.[Yu-Hui], Gu, S.Y.[Shu-Yang], Chen, B.[Bohan], Hang, T.[Tiankai], Cheng, M.X.[Ming-Xi], Li, J.[Ji], Zheng, L.[Liang],
Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization,
CVPR25(13199-13208)
IEEE DOI Code:
WWW Link. 2508
Visualization, Biological system modeling, Computational modeling, Noise reduction, Layout, Text to image, image generation models BibRef

Yao, J.F.[Jing-Feng], Yang, B.[Bin], Wang, X.G.[Xing-Gang],
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models,
CVPR25(15703-15712)
IEEE DOI Code:
WWW Link. 2508
Training, Visualization, Costs, Foundation models, Diffusion models, Transformers, Image reconstruction, Optimization, Convergence, visual tokenizer BibRef

Yu, Q.T.[Qing-Tao], Singh, J.[Jaskirat], Yang, Z.Y.[Zhao-Yuan], Tu, P.H.[Peter Henry], Zhang, J.[Jing], Li, H.D.[Hong-Dong], Hartley, R.I.[Richard I.], Campbell, D.[Dylan],
Probability Density Geodesics in Image Diffusion Latent Space,
CVPR25(27989-27998)
IEEE DOI 2508
Interpolation, Extrapolation, Boundary value problems, Computational modeling, Diffusion models, riemannian geometry BibRef

So, J.[Junhyuk], Shin, J.[Jiwoong], Jang, C.[Chaeyeon], Park, E.[Eunhyeok],
PCM: Picard Consistency Model for Fast Parallel Sampling of Diffusion Models,
CVPR25(23313-23322)
IEEE DOI 2508
Phase change materials, Training, Noise reduction, Switches, Predictive models, Diffusion models, Sampling methods, Trajectory, parallel sampling BibRef

McAllister, D.[David], Tancik, M.[Matthew], Song, J.M.[Jia-Ming], Kanazawa, A.[Angjoo],
Decentralized Diffusion Models,
CVPR25(23323-23333)
IEEE DOI 2508
Training, Costs, Graphics processing units, Diffusion models, Fabrics, Power systems, Synchronization, Standards, Resilience, decentralized training BibRef

Qiu, X.Y.[Xing-Yu], Yang, M.Y.[Meng-Ying], Ma, X.H.[Xing-Hua], Li, F.D.[Fan-Ding], Liang, D.[Dong], Luo, G.N.[Gong-Ning], Wang, W.[Wei], Wang, K.[Kuanquan], Li, S.[Shuo],
Finding Local Diffusion Schrödinger Bridge using Kolmogorov-Arnold Network,
CVPR25(23227-23236)
IEEE DOI Code:
WWW Link. 2508
Better than diffusion, but more expensive. Training, Resistance, Measurement, Image synthesis, Noise reduction, Predictive models, Diffusion models, Optimization, image generation BibRef

Zhang, Y.[Youyuan], Liu, Z.[Zehua], Li, Z.[Zenan], Li, Z.Y.[Zhao-Yu], Clark, J.J.[James J.], Si, X.[Xujie],
Decoupling Training-Free Guided Diffusion by ADMM,
CVPR25(23292-23302)
IEEE DOI 2508
Adaptation models, Image synthesis, Diffusion models, Convex functions, Convergence BibRef

Ahn, N.[Namhyuk], Yoo, K.[KiYoon], Ahn, W.[Wonhyuk], Kim, D.[Daesik], Nam, S.H.[Seung-Hun],
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models,
CVPR25(28801-28810)
IEEE DOI Code:
WWW Link. 2508
Training, Limiting, Image synthesis, Perturbation methods, Diffusion models, Distortion, Robustness, Protection, Low latency communication BibRef

Lee, K.[Kyungmin], Li, X.[Xiahong], Wang, Q.F.[Qi-Fei], He, J.F.[Jun-Feng], Ke, J.J.[Jun-Jie], Yang, M.H.[Ming-Hsuan], Essa, I.[Irfan], Shin, J.[Jinwoo], Yang, F.[Feng], Li, Y.X.[Yin-Xiao],
Calibrated Multi-Preference Optimization for Aligning Diffusion Models,
CVPR25(18465-18475)
IEEE DOI 2508
Computational modeling, Scalability, Text to image, Optimization methods, Manuals, Diffusion models, Sampling methods BibRef

Shirkavand, R.[Reza], Yu, P.R.[Pei-Ran], Gao, S.Q.[Shang-Qian], Somepalli, G.[Gowthami], Goldstein, T.[Tom], Huang, H.[Heng],
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models,
CVPR25(18619-18629)
IEEE DOI 2508
Ethics, Codes, Computational modeling, Diffusion models, Mobile handsets, Complexity theory, Optimization, Convergence, diffusion models unlearning BibRef

Lee, H.[Hyunjun], Lee, H.[Hyunsoo], Han, S.[Sookwan],
SyncSDE: A Probabilistic Framework for Diffusion Synchronization,
CVPR25(17508-17517)
IEEE DOI 2508
Correlation, Computational modeling, Collaboration, Probabilistic logic, Diffusion models, Trajectory, Synchronization, 3d texture BibRef

Chen, Z.Y.[Zhi-Yuan], Li, K.[Keyi], Jia, Y.F.[Yi-Fan], Ye, L.[Le], Ma, Y.F.[Yu-Fei],
Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition,
CVPR25(18011-18020)
IEEE DOI 2508
Costs, Sensitivity, Computational modeling, Scalability, Transformers, Calibration, Iterative methods, diffusion transformer BibRef

Hoogeboom, E.[Emiel], Mensink, T.[Thomas], Heek, J.[Jonathan], Lamerigts, K.[Kay], Gao, R.Q.[Rui-Qi], Salimans, T.[Tim],
Simpler Diffusion: 1.5 FID on ImageNet512 with pixel-space diffusion,
CVPR25(18062-18071)
IEEE DOI 2508
Image quality, Image resolution, Image synthesis, Memory architecture, Diffusion models, diffusion models, image synthesis BibRef

You, H.R.[Hao-Ran], Barnes, C.[Connelly], Zhou, Y.Q.[Yu-Qian], Kang, Y.[Yan], Du, Z.B.[Zhen-Bang], Zhou, W.[Wei], Zhang, L.Z.[Ling-Zhi], Nitzan, Y.[Yotam], Liu, X.Y.[Xiao-Yang], Lin, Z.[Zhe], Shechtman, E.[Eli], Amirghodsi, S.[Sohrab], Lin, Y.Y.C.[Ying-Yan Celine],
Layer-and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers,
CVPR25(18072-18082)
IEEE DOI 2508
Adaptation models, Image coding, Image synthesis, Computational modeling, Text to image, Predictive models, model compression BibRef

Fang, H.P.[Hai-Peng], Tang, S.[Sheng], Cao, J.[Juan], Zhang, E.[Enshuo], Tang, F.[Fan], Lee, T.Y.[Tong-Yee],
Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration,
CVPR25(18083-18092)
IEEE DOI Code:
WWW Link. 2508
Image quality, Visualization, Image coding, Redundancy, Noise reduction, Merging, Diffusion processes, Transformers BibRef

Dai, L.Q.[Long-Quan], Wang, H.[He], Tang, J.H.[Jin-Hui],
NoiseCtrl: A Sampling-Algorithm-Agnostic Conditional Generation Method for Diffusion Models,
CVPR25(18093-18102)
IEEE DOI 2508
Technological innovation, Image synthesis, Gaussian noise, Gaussian distribution, Diffusion models, Prediction algorithms, condition generation BibRef

Shao, H.Y.[Hui-Yang], Xia, X.[Xin], Yang, Y.H.[Yu-Hong], Ren, Y.X.[Yu-Xi], Wang, X.[Xing], Xiao, X.F.[Xue-Feng],
RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories,
CVPR25(18113-18123)
IEEE DOI 2508
Training, Monte Carlo methods, Velocity control, Stochastic processes, Focusing, Diffusion models, Controllability BibRef

Wu, P.Y.[Ping-Yu], Zhu, K.[Kai], Liu, Y.[Yu], Zhao, L.M.[Li-Ming], Zhai, W.[Wei], Cao, Y.[Yang], Zha, Z.J.[Zheng-Jun],
Improved Video VAE for Latent Video Diffusion Model,
CVPR25(18124-18133)
IEEE DOI 2508
Image coding, Convolution, Diffusion models, Image reconstruction, Standards, Videos, Convergence BibRef

Zhao, M.[Maosen], Chen, P.[Pengtao], Yu, C.[Chong], Wen, Y.[Yan], Tan, X.D.[Xu-Dong], Chen, T.[Tao],
Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning,
CVPR25(18134-18143)
IEEE DOI 2508
Quantization (signal), Large language models, Noise reduction, Noise, Memory management, Diffusion models, Multitasking, Resource management BibRef

Fang, G.F.[Gong-Fan], Li, K.[Kunjun], Ma, X.[Xinyin], Wang, X.C.[Xin-Chao],
TinyFusion: Diffusion Transformers Learned Shallow,
CVPR25(18144-18154)
IEEE DOI Code:
WWW Link. 2508
Training, Costs, Codes, Image synthesis, Computational modeling, Transformer cores, Transformers, diffusion transformers, pruning BibRef

Yin, Y.Y.[Yuan-Yang], Zhao, Y.Q.[Ya-Qi], Zheng, M.[Mingwu], Lin, K.[Ke], Ou, J.[Jiarong], Chen, R.[Rui], Huang, V.S.J.[Victor Shea-Jay], Wang, J.H.[Jia-Hao], Tao, X.[Xin], Wan, P.F.[Peng-Fei], Zhang, D.[Di], Yin, B.[Baoqun], Zhang, W.T.[Wen-Tao], Gai, K.[Kun],
Towards Precise Scaling Laws for Video Diffusion Transformers,
CVPR25(18155-18165)
IEEE DOI 2508
Training, Visualization, Costs, Computational modeling, Predictive models, Transformers, Diffusion models, Videos, scaling laws BibRef

Wu, S.J.[Shi-Jie], Zhu, Y.H.[Yi-Hang], Huang, Y.[Yunao], Zhu, K.[Kaizhen], Gu, J.Y.[Jia-Yuan], Yu, J.Y.[Jing-Yi], Shi, Y.[Ye], Wang, J.Y.[Jing-Ya],
AffordDP: Generalizable Diffusion Policy with Transferable Affordance,
CVPR25(6971-6980)
IEEE DOI 2508
Point cloud compression, Manifolds, Visualization, Solid modeling, Affordances, Encoding, Data models, Trajectory, diffusion policy, generalization BibRef

Zhu, L.H.[Liang-Hui], Huang, Z.L.[Zi-Long], Liao, B.[Bencheng], Liew, J.H.[Jun Hao], Yan, H.[Hanshu], Feng, J.S.[Jia-Shi], Wang, X.G.[Xing-Gang],
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention,
CVPR25(7664-7674)
IEEE DOI 2508
Visualization, Image resolution, Image synthesis, Graphics processing units, Logic gates, Diffusion models, linear attention BibRef

Whalen, L.[Lexington], Du, Z.B.[Zhen-Bang], You, H.R.[Hao-Ran], Li, C.[Chaojian], Li, S.[Sixu], Lin, Y.Y.C.[Ying-Yan Celine],
Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training,
CVPR25(7675-7684)
IEEE DOI Code:
WWW Link. 2508
Training, Codes, Image synthesis, Computational modeling, Buildings, Diffusion models, Computational efficiency, Standards, diffusion, early bird tickets BibRef

Cao, Y.[Yu], Zhao, Z.Q.[Zeng-Qun], Patras, I.[Ioannis], Gong, S.G.[Shao-Gang],
Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts,
CVPR25(7707-7716)
IEEE DOI 2508
Training, Visualization, Uncertainty, Prevention and mitigation, Noise, Diffusion processes, Diffusion models, Transient analysis, diffusion model BibRef

Seo, H.[Hoigi], Jeong, W.[Wongi], Lee, K.[Kyungryeol], Chun, S.Y.[Se Young],
Efficient Personalization of Quantized Diffusion Model without Backpropagation,
CVPR25(7717-7727)
IEEE DOI Code:
WWW Link. 2508
Training, Backpropagation, Quantization (signal), Image synthesis, Memory management, Diffusion models, Trajectory, Noise measurement, quantized diffusion models BibRef

Madar, O.[Or], Fried, O.[Ohad],
Tiled Diffusion,
CVPR25(7795-7804)
IEEE DOI 2508
Measurement, Visualization, Video games, Technological innovation, Scalability, Digital art, Manuals, Diffusion models, Painting, tileable textures BibRef

Kulkarni, A.[Akshay], Yan, G.[Ge], Sun, C.E.[Chung-En], Oikarinen, T.[Tuomas], Weng, T.W.[Tsui-Wei],
Interpretable Generative Models through Post-Hoc Concept Bottlenecks,
CVPR25(8162-8171)
IEEE DOI 2508
Training, Computational modeling, Scalability, Autoencoders, Predictive models, Diffusion models, generative-models BibRef

Shi, Y.D.[Ying-Dong], Li, C.M.[Chang-Ming], Wang, Y.F.[Yi-Fan], Zhao, Y.X.[Yong-Xiang], Pang, A.[Anqi], Yang, S.[Sibei], Yu, J.Y.[Jing-Yi], Ren, K.[Kan],
Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability,
CVPR25(8192-8202)
IEEE DOI Code:
WWW Link. 2508
Image quality, Ethics, Generative AI, Prevention and mitigation, Decision making, Diffusion models, Transformers, fairness, sparse autoencoder BibRef

He, B.[Boyong], Ji, Y.X.[Yu-Xiang], Ye, Q.W.[Qian-Wen], Tan, Z.[Zhuoyue], Wu, L.[Liaoni],
Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection,
CVPR25(9921-9932)
IEEE DOI 2508
Visualization, Diffusion processes, Detectors, Object detection, Benchmark testing, Feature extraction, Diffusion models, transfer learning BibRef

Tian, Y.C.[Yu-Chuan], Han, J.[Jing], Wang, C.C.[Cheng-Cheng], Liang, Y.C.[Yu-Chen], Xu, C.[Chao], Chen, H.T.[Han-Ting],
DiC: Rethinking Conv3x3 Designs in Diffusion Models,
CVPR25(2469-2478)
IEEE DOI Code:
WWW Link. 2508
Visualization, Convolution, Scalability, Architecture, Redundancy, Diffusion models, Transformers, Throughput, diffusion, convolution, transformer BibRef

Kim, M.[Myunsoo], Ki, D.[Donghyeon], Shim, S.W.[Seong-Woong], Lee, B.J.[Byung-Jun],
Adaptive Non-uniform Timestep Sampling for Accelerating Diffusion Model Training,
CVPR25(2513-2522)
IEEE DOI 2508
Training, Time-frequency analysis, Image synthesis, Computational modeling, Stochastic processes, Diffusion models, diffusion models BibRef

Ma, N.[Nanye], Tong, S.[Shangyuan], Jia, H.L.[Hao-Lin], Hu, H.[Hexiang], Su, Y.C.[Yu-Chuan], Zhang, M.[Mingda], Yang, X.[Xuan], Li, Y.D.[Yan-Dong], Jaakkola, T.[Tommi], Jia, X.H.[Xu-Hui], Xie, S.[Saining],
Scaling Inference Time Compute for Diffusion Models,
CVPR25(2523-2534)
IEEE DOI 2508
Training, Computational modeling, Noise reduction, Noise, Performance gain, Diffusion models, Search problems BibRef

Wang, Y.H.[Yu-Han], Bi, S.[Suzhi], Zhang, Y.J.A.[Ying-Jun Angela], Yuan, X.J.[Xiao-Jun],
Traversing Distortion-Perception Tradeoff using a Single Score-Based Generative Model,
CVPR25(2377-2386)
IEEE DOI 2508
Adaptation models, Inverse problems, Noise reduction, Superresolution, Diffusion processes, Gaussian distribution, efficient and scalable vision BibRef

Relic, L.[Lucas], Azevedo, R.[Roberto], Zhang, Y.[Yang], Gross, M.[Markus], Schroers, C.[Christopher],
Bridging the Gap between Gaussian Diffusion Models and Universal Quantization for Image Compression,
CVPR25(2449-2458)
IEEE DOI 2508
Ethics, Schedules, Quantization (signal), Image coding, Codecs, Bit rate, Diffusion processes, Diffusion models, generative models BibRef

Zhang, D.J.H.[David Jun-Hao], Paiss, R.[Roni], Zada, S.[Shiran], Karnad, N.[Nikhil], Jacobs, D.E.[David E.], Pritch, Y.[Yael], Mosseri, I.[Inbar], Shou, M.Z.[Mike Zheng], Wadhwa, N.[Neal], Ruiz, N.[Nataniel],
ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning,
CVPR25(2050-2062)
IEEE DOI 2508
Point cloud compression, Computational modeling, Cameras, Rendering (computer graphics), Diffusion models, Trajectory, Videos BibRef

Meng, Q.[Quan], Li, L.[Lei], Nießner, M.[Matthias], Dai, A.[Angela],
LT3SD: Latent Trees for 3D Scene Diffusion,
CVPR25(650-660)
IEEE DOI 2508
Training, Geometry, Solid modeling, Diffusion processes, Diffusion models, Probabilistic logic BibRef

Ke, L.[Lei], Xu, H.H.[Hao-Hang], Ning, X.F.[Xue-Fei], Li, Y.[Yu], Li, J.J.[Jia-Jun], Li, H.[Haoling], Lin, Y.X.[Yu-Xuan], Jiang, D.S.[Dong-Sheng], Yang, Y.[Yujiu], Zhang, L.F.[Lin-Feng],
ProReflow: Progressive Reflow with Decomposed Velocity,
CVPR25(28029-28038)
IEEE DOI 2508
Training, Semiconductor device modeling, Costs, Computational modeling, Diffusion models, Stability analysis, velocity decomposed BibRef

Dhiman, A.[Ankit], Shah, M.[Manan], Babu, R.V.[R Venkatesh],
MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World,
CVPR25(11239-11249)
IEEE DOI Code:
WWW Link. 2508
Training, Grounding, Pipelines, Training data, Diffusion models, Data augmentation, Reflection, Mirrors, Synthetic data, synthetic data generation BibRef

Kim, Y.[Yeongmin], Anagnostidis, S.[Sotiris], Du, Y.M.[Yu-Ming], Schönfeld, E.[Edgar], Kohler, J.[Jonas], Georgopoulos, M.[Markos], Pumarola, A.[Albert], Thabet, A.[Ali], Sanakoyeu, A.[Artsiom],
Autoregressive Distillation of Diffusion Transformers,
CVPR25(15745-15756)
IEEE DOI Code:
WWW Link. 2508
Acute respiratory distress syndrome, Training, Scalability, Text to image, Transformers, Rendering (computer graphics), diffusion model BibRef

Liu, X.Y.[Xiao-Yi], Tang, H.[Hao],
DiffFNO: Diffusion Fourier Neural Operator,
CVPR25(150-160)
IEEE DOI 2508
Training, Superresolution, Diffusion processes, Logic gates, Benchmark testing, Computational efficiency, neural operator BibRef

Kim, D.[Dohyun], Park, S.[Sehwan], Han, G.[Geonhee], Kim, S.W.[Seung Wook], Seo, P.H.[Paul Hongsuck],
Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression,
CVPR25(18607-18618)
IEEE DOI Code:
WWW Link. 2508
Training, Image coding, Codes, Computational modeling, Noise reduction, Text to image, Diffusion models, resource efficiency BibRef

Kazimi, T.[Tahira], Allada, R.[Ritika], Yanardag, P.[Pinar],
Explaining in Diffusion: Explaining a Classifier with Diffusion Semantics,
CVPR25(14799-14809)
IEEE DOI 2508
Training, Analytical models, Computational modeling, Semantics, Decision making, Text to image, Diffusion models, Faces, diffusion generative models BibRef

Zhou, Y.F.[Yi-Fan], Xiao, Z.[Zeqi], Yang, S.[Shuai], Pan, X.G.[Xin-Gang],
Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent Space,
CVPR25(34-44)
IEEE DOI Code:
WWW Link. 2508
Training, Translation, Perturbation methods, Frequency-domain analysis, Superresolution, Noise, Estimation, equivariance BibRef

Luu, T.[Tung], Le, N.[Nam], Le, D.[Duc], Le, B.[Bac],
From Visual Explanations to Counterfactual Explanations with Latent Diffusion,
WACV25(420-429)
IEEE DOI 2505
Visualization, Semantics, Decision making, Observers, Diffusion models, Classification algorithms, adversarial attacks BibRef

Xu, Z.Y.[Zhi-Yuan], Chen, Y.[Yinhe], Gao, H.A.[Huan-Ang], Zhao, W.Y.[Wei-Yan], Zhang, G.Y.[Gui-Yu], Zhao, H.[Hao],
Diffusion-based Visual Anagram as Multi-task Learning,
WACV25(919-928)
IEEE DOI 2505
Visualization, Noise, Noise reduction, Multitasking, Optical imaging, Diffusion models, Vectors, Trajectory, Optical noise, Optimization, optical illusions BibRef

Cendra, F.J.[Fernando Julio], Han, K.[Kai],
ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models,
CVPR25(23734-23743)
IEEE DOI Code:
WWW Link. 2508
Location awareness, Learning systems, Visualization, Systematics, Text to image, Streaming media, Diffusion models, Reliability, generative AI BibRef

Hao, S.[Shaozhe], Han, K.[Kai], Lv, Z.Y.[Zheng-Yao], Zhao, S.H.[Shi-Hao], Wong, K.Y.K.[Kwan-Yee K.],
ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction,
ECCV24(LIX: 215-233).
Springer DOI 2412
Code:
WWW Link. Personalized generation. BibRef

Alçalar, Y.U.[Yasar Utku], Akçakaya, M.[Mehmet],
Zero-shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems,
ECCV24(LXXXIII: 444-460).
Springer DOI 2412
BibRef

Dao, Q.[Quan], Ta, B.[Binh], Pham, T.[Tung], Tran, A.[Anh],
A High-quality Robust Diffusion Framework for Corrupted Dataset,
ECCV24(LXXXIV: 107-123).
Springer DOI 2412
BibRef

Wei, Y.H.[Yan-Heng], Huang, L.H.[Liang-Hua], Wu, Z.F.[Zhi-Fan], Wang, W.[Wei], Liu, Y.[Yu], Jia, M.D.[Ming-Da], Ma, S.[Shuailei],
Chains of Diffusion Models,
ECCV24(LXXII: 18-34).
Springer DOI 2412
BibRef

Ahn, D.[Donghoon], Cho, H.[Hyoungwon], Min, J.W.[Jae-Won], Jang, W.[Wooseok], Kim, J.[Jungwoo], Kim, S.[Seon_Hwa], Park, H.H.[Hyun Hee], Jin, K.H.[Kyong Hwan], Kim, S.[Seungryong],
Self-rectifying Diffusion Sampling with Perturbed-attention Guidance,
ECCV24(LXXIII: 1-17).
Springer DOI 2412
BibRef

Tang, S.K.[Sheng-Kun], Wang, Y.Q.[Ya-Qing], Ding, C.[Caiwen], Liang, Y.[Yi], Li, Y.[Yao], Xu, D.K.[Dong-Kuan],
Adadiff: Accelerating Diffusion Models Through Step-wise Adaptive Computation,
ECCV24(LXXIX: 73-90).
Springer DOI 2412
BibRef

Huang, R.M.[Ren-Ming], Pei, Y.Q.[Yun-Qiang], Wang, G.Q.[Guo-Qing], Zhang, Y.M.[Yang-Ming], Yang, Y.[Yang], Wang, P.[Peng], Shen, H.T.[Heng-Tao],
Diffusion Models as Optimizers for Efficient Planning in Offline Rl,
ECCV24(LI: 1-17).
Springer DOI 2412
BibRef

Lee, S.[Sojin], Park, D.[Dogyun], Kong, I.H.[In-Ho], Kim, H.W.J.[Hyun-Woo J.],
Diffusion Prior-based Amortized Variational Inference for Noisy Inverse Problems,
ECCV24(LIII: 288-304).
Springer DOI 2412
BibRef

Kim, B.K.[Bo-Kyeong], Song, H.K.[Hyoung-Kyu], Castells, T.[Thibault], Choi, S.[Shinkook],
Bk-sdm: A Lightweight, Fast, and Cheap Version of Stable Diffusion,
ECCV24(LIV: 381-399).
Springer DOI 2412
BibRef

Geng, D.[Daniel], Park, I.[Inbum], Owens, A.[Andrew],
Factorized Diffusion: Perceptual Illusions by Noise Decomposition,
ECCV24(LVII: 366-384).
Springer DOI 2412
BibRef

Lu, J.[Jack], Teehan, R.[Ryan], Ren, M.[Mengye],
Procreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation,
ECCV24(LX: 397-414).
Springer DOI 2412
BibRef

Ganjdanesh, A.[Alireza], Kang, Y.[Yan], Liu, Y.C.[Yu-Chen], Zhang, R.[Richard], Lin, Z.[Zhe], Huang, H.[Heng],
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-network Selection,
ECCV24(LXI: 54-71).
Springer DOI 2412
BibRef

Lu, H.[Hui], Salah, A.A.[Albert Ali], Poppe, R.[Ronald],
Compensation Sampling for Improved Convergence in Diffusion Models,
ECCV24(LXI: 183-201).
Springer DOI 2412
BibRef

Schusterbauer, J.[Johannes], Gui, M.[Ming], Ma, P.[Pingchuan], Stracke, N.[Nick], Baumann, S.A.[Stefan Andreas], Hu, V.T.[Vincent Tao], Ommer, B.[Björn],
Fmboost: Boosting Latent Diffusion with Flow Matching,
ECCV24(LXI: 338-355).
Springer DOI 2412
BibRef

Siglidis, I.[Ioannis], Holynski, A.[Aleksander], Efros, A.A.[Alexei A.], Aubry, M.[Mathieu], Ginosar, S.[Shiry],
Diffusion Models as Data Mining Tools,
ECCV24(LXI: 393-409).
Springer DOI 2412
BibRef

Zheng, T.Y.[Tian-Yi], Jiang, P.T.[Peng-Tao], Wan, B.[Ben], Zhang, H.[Hao], Chen, J.[Jinwei], Wang, J.[Jia], Li, B.[Bo],
Beta-Tuned Timestep Diffusion Model,
ECCV24(III: 114-130).
Springer DOI 2412
BibRef

Yao, Y.Z.[Yu-Zhe], Tian, F.[Feng], Chen, J.[Jun], Lin, H.[Haonan], Dai, G.[Guang], Liu, Y.[Yong], Wang, J.D.[Jing-Dong],
Timestep-aware Correction for Quantized Diffusion Models,
ECCV24(LXVI: 215-232).
Springer DOI 2412
BibRef

Liang, Y.C.[Yu-Chen], Tian, Y.C.[Yu-Chan], Yu, L.[Lei], Tang, H.[Huaao], Hu, J.[Jie], Fang, X.Z.[Xiang-Zhong], Chen, H.T.[Han-Ting],
Learning Quantized Adaptive Conditions for Diffusion Models,
ECCV24(LXXXI: 358-374).
Springer DOI 2412
BibRef

Zhao, X.[Xin], Chen, X.J.[Xiao-Jun], Chen, X.D.[Xu-Dong], Li, H.[He], Fan, T.Y.[Ting-Yu], Zhao, Z.D.[Zhen-Dong],
Cipherdm: Secure Three-party Inference for Diffusion Model Sampling,
ECCV24(LXXI: 288-305).
Springer DOI 2412
BibRef

Liu, X.[Xiao], Guan, X.L.[Xiao-Liu], Wu, Y.[Yu], Miao, J.X.[Jia-Xu],
Iterative Ensemble Training with Anti-gradient Control for Mitigating Memorization in Diffusion Models,
ECCV24(LXXXVII: 108-123).
Springer DOI 2412
BibRef

So, J.[Junhyuk], Lee, J.[Jungwon], Park, E.[Eunhyeok],
Frdiff: Feature Reuse for Universal Training-free Acceleration of Diffusion Models,
ECCV24(LXXIII: 328-344).
Springer DOI 2412
BibRef

Kang, M.[Minguk], Zhang, R.[Richard], Barnes, C.[Connelly], Paris, S.[Sylvain], Kwak, S.[Suha], Park, J.[Jaesik], Shechtman, E.[Eli], Zhu, J.Y.[Jun-Yan], Park, T.[Taesung],
Distilling Diffusion Models Into Conditional GANs,
ECCV24(XXVIII: 428-447).
Springer DOI 2412
BibRef

Liu, Z.L.[Zhi-Li], Chen, K.[Kai], Zhang, Y.F.[Yi-Fan], Han, J.H.[Jian-Hua], Hong, L.Q.[Lan-Qing], Xu, H.[Hang], Li, Z.G.[Zhen-Guo], Yeung, D.Y.[Dit-Yan], Kwok, J.T.[James T.],
Implicit Concept Removal of Diffusion Models,
ECCV24(XXI: 457-473).
Springer DOI 2412
BibRef

Chen, C.F.[Chao-Feng], Wang, A.[Annan], Wu, H.N.[Hao-Ning], Liao, L.[Liang], Sun, W.X.[Wen-Xiu], Yan, Q.[Qiong], Lin, W.S.[Wei-Si],
Enhancing Diffusion Models with Text-encoder Reinforcement Learning,
ECCV24(XXV: 182-198).
Springer DOI 2412
BibRef

Ryu, H.[Hyogon], Lim, S.[Seohyun], Shim, H.J.[Hyun-Jung],
Memory-efficient Fine-tuning for Quantized Diffusion Model,
ECCV24(XVI: 356-372).
Springer DOI 2412
BibRef

Zhao, W.L.[Wen-Liang], Wang, H.L.[Hao-Lin], Zhou, J.[Jie], Lu, J.W.[Ji-Wen],
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation,
ECCV24(XI: 450-466).
Springer DOI 2412
BibRef

Pu, Y.F.[Yi-Fan], Xia, Z.[Zhuofan], Guo, J.Y.[Jia-Yi], Han, D.C.[Dong-Chen], Li, Q.X.[Qi-Xiu], Li, D.[Duo], Yuan, Y.H.[Yu-Hui], Li, J.[Ji], Han, Y.Z.[Yi-Zeng], Song, S.[Shiji], Huang, G.[Gao], Li, X.[Xiu],
Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators,
ECCV24(XV: 424-441).
Springer DOI 2412
BibRef

Fan, J.Q.[Jun-Qiao], Yang, J.F.[Jian-Fei], Xu, Y.C.[Yue-Cong], Xie, L.H.[Li-Hua],
Diffusion Model is a Good Pose Estimator from 3d RF-Vision,
ECCV24(XVI: 1-18).
Springer DOI 2412
BibRef

Khurana, M.[Mridul], Daw, A.[Arka], Maruf, M., Uyeda, J.C.[Josef C.], Dahdul, W.[Wasila], Charpentier, C.[Caleb], Bakis, Y.[Yasin], Bart, Jr., H.L.[Henry L.], Mabee, P.M.[Paula M.], Lapp, H.[Hilmar], Balhoff, J.P.[James P.], Chao, W.L.[Wei-Lun], Stewart, C.[Charles], Berger-Wolf, T.[Tanya], Karpatne, A.[Anuj],
Hierarchical Conditioning of Diffusion Models Using Tree-of-life for Studying Species Evolution,
ECCV24(LXXXIX: 137-153).
Springer DOI 2412
BibRef

Petsiuk, V.[Vitali], Saenko, K.[Kate],
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models,
ECCV24(LXXXVIII: 309-325).
Springer DOI 2412
BibRef

Ma, X.Y.[Xin-Yin], Fang, G.F.[Gong-Fan], Wang, X.C.[Xin-Chao],
DeepCache: Accelerating Diffusion Models for Free,
CVPR24(15762-15772)
IEEE DOI Code:
WWW Link. 2410
Image coding, Costs, Image synthesis, Computational modeling, Noise reduction, Termination of employment, Efficient Deep Learning BibRef

Rout, L.[Litu], Chen, Y.J.[Yu-Jia], Kumar, A.[Abhishek], Caramanis, C.[Constantine], Shakkottai, S.[Sanjay], Chu, W.S.[Wen-Sheng],
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion,
CVPR24(9472-9481)
IEEE DOI 2410
Inverse problems, Diffusion processes, Benchmark testing, Distortion, Diffusion models, Second-order Tweedie BibRef

Huang, Y.S.[Yu-Shi], Gong, R.[Ruihao], Liu, J.[Jing], Chen, T.L.[Tian-Long], Liu, X.L.[Xiang-Long],
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models,
CVPR24(7362-7371)
IEEE DOI Code:
WWW Link. 2410
Quantization (signal), Computational modeling, Noise reduction, Diffusion models, Maintenance, Calibration, Trajectory, Temmporal Feature BibRef

Zhang, H.J.[Hui-Jie], Lu, Y.[Yifu], Alkhouri, I.[Ismail], Ravishankar, S.[Saiprasad], Song, D.[Dogyoon], Qu, Q.[Qing],
Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture,
CVPR24(7372-7381)
IEEE DOI 2410
Training, Noise, Interference, Diffusion models, Trajectory BibRef

Wu, Y.W.[Yin-Wei], Yang, X.Y.[Xing-Yi], Wang, X.C.[Xin-Chao],
Relation Rectification in Diffusion Model,
CVPR24(7685-7694)
IEEE DOI Code:
WWW Link. 2410
Visualization, Accuracy, Graph convolutional networks, Computational modeling, Diffusion models, Reflection, Diffusion Models BibRef

Chen, Y.[Yinbo], Wang, O.[Oliver], Zhang, R.[Richard], Shechtman, E.[Eli], Wang, X.L.[Xiao-Long], Gharbi, M.[Michael],
Image Neural Field Diffusion Models,
CVPR24(8007-8017)
IEEE DOI 2410
Training, Inverse problems, Computational modeling, Superresolution, Diffusion models, Data models BibRef

Xue, S.C.[Shu-Chen], Liu, Z.Q.[Zhao-Qiang], Chen, F.[Fei], Zhang, S.F.[Shi-Feng], Hu, T.Y.[Tian-Yang], Xie, E.[Enze], Li, Z.G.[Zhen-Guo],
Accelerating Diffusion Sampling with Optimized Time Steps,
CVPR24(8292-8301)
IEEE DOI Code:
WWW Link. 2410
Accuracy, Image synthesis, Optimization methods, Diffusion models, Sampling methods BibRef

Kong, F.[Fei], Duan, J.H.[Jin-Hao], Sun, L.C.[Li-Chao], Cheng, H.[Hao], Xu, R.J.[Ren-Jing], Shen, H.T.[Heng-Tao], Zhu, X.F.[Xiao-Feng], Shi, X.S.[Xiao-Shuang], Xu, K.D.[Kai-Di],
ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models,
CVPR24(8890-8899)
IEEE DOI Code:
WWW Link. 2410
Training, Adaptation models, Upper bound, Costs, Image synthesis, Noise reduction, Diffusion models BibRef

Bai, X.J.[Xing-Jian], Melas-Kyriazi, L.[Luke],
Fixed Point Diffusion Models,
CVPR24(9430-9440)
IEEE DOI Code:
WWW Link. 2410
Training, Smoothing methods, Image synthesis, Computational modeling, Noise reduction, Stochastic processes, Diffusion models BibRef

Dufour, N.[Nicolas], Besnier, V.[Victor], Kalogeiton, V.[Vicky], Picard, D.[David],
Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion,
CVPR24(6264-6273)
IEEE DOI 2410
Training, Solid modeling, Annotations, Computational modeling, Semantic segmentation, Coherence, Diffusion models, diffusion, semantically conditional generation BibRef

Xia, M.F.[Meng-Fei], Shen, Y.J.[Yu-Jun], Lei, C.S.[Chang-Song], Zhou, Y.[Yu], Zhao, D.L.[De-Li], Yi, R.[Ran], Wang, W.P.[Wen-Ping], Liu, Y.J.[Yong-Jin],
Towards More Accurate Diffusion Model Acceleration with a Timestep Tuner,
CVPR24(5736-5745)
IEEE DOI Code:
WWW Link. 2410
Degradation, Accuracy, Tuners, Costs, Codes, Noise reduction BibRef

Tian, J.J.[Jun-Jiao], Aggarwal, L.[Lavisha], Colaco, A.[Andrea], Kira, Z.[Zsolt], Gonzalez-Franco, M.[Mar],
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion,
CVPR24(3554-3563)
IEEE DOI Code:
WWW Link. 2410
Training, Image segmentation, Satellites, Merging, Diffusion models, segmentation, diffusion model, zero-shot, unsupervised BibRef

Liu, Y.H.[Yu-Hao], Ke, Z.[Zhanghan], Liu, F.[Fang], Zhao, N.X.[Nan-Xuan], Lau, R.W.H.[Rynson W.H.],
Diff-Plugin: Revitalizing Details for Diffusion-Based Low-Level Tasks,
CVPR24(4197-4208)
IEEE DOI Code:
WWW Link. 2410
Training, Visualization, Image synthesis, Snow, Natural languages, Diffusion processes BibRef

Zhao, Z.Y.[Zhong-Yin], Chen, Y.[Ye], Hu, Z.L.[Zhang-Li], Chen, X.H.[Xuan-Hong], Ni, B.B.[Bing-Bing],
Vector Graphics Generation via Mutually Impulsed Dual-Domain Diffusion,
CVPR24(4420-4428)
IEEE DOI 2410
Visualization, Image coding, Shape, Image synthesis, Shape measurement, Measurement uncertainty, Production, Diffusion model BibRef

Thamizharasan, V.[Vikas], Liu, D.[Difan], Fisher, M.[Matthew], Zhao, N.X.[Nan-Xuan], Kalogerakis, E.[Evangelos], Lukác, M.[Michal],
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation,
CVPR24(4589-4597)
IEEE DOI 2410
Geometry, Shape, Noise reduction, Training data, Diffusion models, Vectors, diffusion models, vector graphics, neural implicit fields, text-to-vector generation BibRef

Zhang, B.[Biao], Wonka, P.[Peter],
Functional Diffusion,
CVPR24(4723-4732)
IEEE DOI 2410
Deformation, Shape, Diffusion models, Transformers, generative models, geometry modeling BibRef

Si, C.Y.[Chen-Yang], Huang, Z.Q.[Zi-Qi], Jiang, Y.M.[Yu-Ming], Liu, Z.W.[Zi-Wei],
FreeU: Free Lunch in Diffusion U-Net,
CVPR24(4733-4743)
IEEE DOI 2410
Training, Image synthesis, Noise reduction, Semantics, Noise, Computer architecture BibRef

Everaert, M.N.[Martin Nicolas], Fitsios, A.[Athanasios], Bocchio, M.[Marco], Arpa, S.[Sami], Süsstrunk, S.[Sabine], Achanta, R.[Radhakrishna],
Exploiting the Signal-Leak Bias in Diffusion Models,
WACV24(4013-4022)
IEEE DOI 2404
Training, Adaptation models, Image color analysis, Image synthesis, Frequency-domain analysis, Brightness, Pipelines, Algorithms, Arts / games / social media BibRef

Park, D.H.[Dong Huk], Luo, G.[Grace], Toste, C.[Clayton], Azadi, S.[Samaneh], Liu, X.H.[Xi-Hui], Karalashvili, M.[Maka], Rohrbach, A.[Anna], Darrell, T.J.[Trevor J.],
Shape-Guided Diffusion with Inside-Outside Attention,
WACV24(4186-4195)
IEEE DOI Code:
WWW Link. 2404
Degradation, Measurement, Codes, Shape, Benchmark testing, Task analysis, Algorithms, Computational photography, image and video synthesis BibRef

Sarukkai, V.[Vishnu], Li, L.[Linden], Ma, A.[Arden], Ré, C.[Christopher], Fatahalian, K.[Kayvon],
Collage Diffusion,
WACV24(4196-4205)
IEEE DOI 2404
Visualization, Image synthesis, Process control, Algorithms, Computational photography, image and video synthesis, Algorithms BibRef

Cao, J.H.[Jia-Hang], Wang, Z.Q.[Zi-Qing], Guo, H.Z.[Han-Zhong], Cheng, H.[Hao], Zhang, Q.[Qiang], Xu, R.[Renjing],
Spiking Denoising Diffusion Probabilistic Models,
WACV24(4900-4909)
IEEE DOI Code:
WWW Link. 2404
Training, Energy consumption, Biological system modeling, Noise reduction, Energy conservation, Visualization BibRef

Haas, R.[René], Huberman-Spiegelglas, I.[Inbar], Mulayoff, R.[Rotem], Graßhof, S.[Stella], Brandt, S.S.[Sami S.], Michaeli, T.[Tomer],
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models,
FG24(1-9)
IEEE DOI 2408
Jacobian matrices, Image synthesis, Face recognition, Semantics, Noise reduction, Gesture recognition, Diffusion models BibRef

Elata, N.[Noam], Kawar, B.[Bahjat], Michaeli, T.[Tomer], Elad, M.[Michael],
Nested Diffusion Processes for Anytime Image Generation,
WACV24(4995-5004)
IEEE DOI 2404
Image synthesis, Inverse problems, Computational modeling, Noise reduction, Diffusion processes, Probabilistic logic BibRef

Hur, J.[Jiwan], Choi, J.[Jaehyun], Han, G.J.[Gyo-Jin], Lee, D.J.[Dong-Jae], Kim, J.[Junmo],
Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning,
WACV24(5016-5025)
IEEE DOI 2404
Training, Shape, Image color analysis, Computational modeling, Data models, Algorithms, image and video synthesis BibRef

Zhang, J.[Jeffrey], Chang, S.Y.[Shao-Yu], Li, K.[Kedan], Forsyth, D.A.[David A.],
Preserving Image Properties Through Initializations in Diffusion Models,
WACV24(5230-5238)
IEEE DOI 2404
Training, Photography, Image synthesis, Image color analysis, Noise, Lighting, Algorithms, Generative models for image, video, 3D, etc., Commercial / retail BibRef

Lin, S.C.[Shan-Chuan], Liu, B.C.[Bing-Chen], Li, J.S.[Jia-Shi], Yang, X.[Xiao],
Common Diffusion Noise Schedules and Sample Steps are Flawed,
WACV24(5392-5399)
IEEE DOI 2404
Training, Schedules, Gaussian noise, Computational modeling, Brightness, Diffusion processes, Algorithms, image and video synthesis BibRef

Jamwal, V.[Vikram], Ramaneswaran, S.,
Composite Diffusion: whole >= Sigma-parts,
WACV24(7206-7215)
IEEE DOI 2404
Surveys, Measurement, Image quality, Image segmentation, Art, Image synthesis, Applications, Arts / games / social media BibRef

Wang, Y.Y.[Yuan-Yuan], Li, X.J.[Xiang-Jun],
The last two decades of Studies in diffusion models: A bibliometric analysis,
CVIDL23(399-403)
IEEE DOI 2403
Analytical models, Biological system modeling, Computational modeling, frontier domains BibRef

Torem, N.[Nadav], Ronen, R.[Roi], Schechner, Y.Y.[Yoav Y.], Elad, M.[Michael],
Complex-Valued Retrievals From Noisy Images Using Diffusion Models,
BioIm23(3812-3822)
IEEE DOI 2401
BibRef

Yu, J.W.[Ji-Wen], Wang, Y.H.[Yin-Huai], Zhao, C.[Chen], Ghanem, B.[Bernard], Zhang, J.[Jian],
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model,
ICCV23(23117-23127)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wallace, B.[Bram], Gokul, A.[Akash], Ermon, S.[Stefano], Naik, N.[Nikhil],
End-to-End Diffusion Latent Optimization Improves Classifier Guidance,
ICCV23(7246-7256)
IEEE DOI 2401
BibRef

Hang, T.K.[Tian-Kai], Gu, S.Y.[Shu-Yang], Li, C.[Chen], Bao, J.M.[Jian-Min], Chen, D.[Dong], Hu, H.[Han], Geng, X.[Xin], Guo, B.[Baining],
Efficient Diffusion Training via Min-SNR Weighting Strategy,
ICCV23(7407-7417)
IEEE DOI Code:
WWW Link. 2401
BibRef

Li, X.[Xiuyu], Liu, Y.J.[Yi-Jiang], Lian, L.[Long], Yang, H.R.[Huan-Rui], Dong, Z.[Zhen], Kang, D.[Daniel], Zhang, S.H.[Shang-Hang], Keutzer, K.[Kurt],
Q-Diffusion: Quantizing Diffusion Models,
ICCV23(17489-17499)
IEEE DOI 2401
BibRef

Li, L.J.[Li-Jiang], Li, H.X.[Hui-Xia], Zheng, X.[Xiawu], Wu, J.[Jie], Xiao, X.F.[Xue-Feng], Wang, R.[Rui], Zheng, M.[Min], Pan, X.[Xin], Chao, F.[Fei], Ji, R.R.[Rong-Rong],
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration,
ICCV23(7082-7091)
IEEE DOI 2401
BibRef

Xu, X.Q.[Xing-Qian], Wang, Z.Y.[Zhang-Yang], Zhang, E.[Eric], Wang, K.[Kai], Shi, H.[Humphrey],
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model,
ICCV23(7720-7731)
IEEE DOI Code:
WWW Link. 2401
BibRef

Gandikota, R.[Rohit], Materzynska, J.[Joanna], Fiotto-Kaufman, J.[Jaden], Bau, D.[David],
Erasing Concepts from Diffusion Models,
ICCV23(2426-2436)
IEEE DOI 2401
BibRef

Tyszkiewicz, M.J.[Michal J.], Fua, P.[Pascal], Trulls, E.[Eduard],
GECCO: Geometrically-Conditioned Point Diffusion Models,
ICCV23(2128-2138)
IEEE DOI 2401
BibRef

Bolya, D.[Daniel], Hoffman, J.[Judy],
Token Merging for Fast Stable Diffusion,
ECV23(4599-4603)
IEEE DOI 2309
BibRef

Bansal, A.[Arpit], Chu, H.M.[Hong-Min], Schwarzschild, A.[Avi], Sengupta, S.[Soumyadip], Goldblum, M.[Micah], Geiping, J.[Jonas], Goldstein, T.[Tom],
Universal Guidance for Diffusion Models,
GCV23(843-852)
IEEE DOI 2309
BibRef

Chen, Z.[Zijiao], Qing, J.X.[Jia-Xin], Xiang, T.[Tiange], Yue, W.L.[Wan Lin], Zhou, J.H.[Juan Helen],
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding,
CVPR23(22710-22720)
IEEE DOI 2309
BibRef

Wang, Z.[Ze], Wang, J.[Jiang], Liu, Z.C.[Zi-Cheng], Qiu, Q.[Qiang],
Binary Latent Diffusion,
CVPR23(22576-22585)
IEEE DOI 2309
BibRef

Yang, X.Y.[Xing-Yi], Zhou, D.[Daquan], Feng, J.S.[Jia-Shi], Wang, X.C.[Xin-Chao],
Diffusion Probabilistic Model Made Slim,
CVPR23(22552-22562)
IEEE DOI 2309
BibRef

Wallace, B.[Bram], Gokul, A.[Akash], Naik, N.[Nikhil],
EDICT: Exact Diffusion Inversion via Coupled Transformations,
CVPR23(22532-22541)
IEEE DOI 2309
BibRef

Chung, H.[Hyungjin], Ryu, D.[Dohoon], Mccann, M.T.[Michael T.], Klasky, M.L.[Marc L.], Ye, J.C.[Jong Chul],
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models,
CVPR23(22542-22551)
IEEE DOI 2309
BibRef

Yu, S.[Sihyun], Sohn, K.[Kihyuk], Kim, S.B.[Su-Bin], Shin, J.[Jinwoo],
Video Probabilistic Diffusion Models in Projected Latent Space,
CVPR23(18456-18466)
IEEE DOI 2309
BibRef

Liu, B.[Bowen], Chen, Y.[Yu], Machineni, R.C.[Rakesh Chowdary], Liu, S.Y.[Shi-Yu], Kim, H.S.[Hun-Seok],
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding,
CVPR23(18487-18496)
IEEE DOI 2309
BibRef

Gomes, C.[Carlos], Azevedo, R.[Roberto], Schroers, C.[Christopher],
Video Compression with Entropy-Constrained Neural Representations,
CVPR23(18497-18506)
IEEE DOI 2309
BibRef

Saragadam, V.[Vishwanath], LeJeune, D.[Daniel], Tan, J.[Jasper], Balakrishnan, G.[Guha], Veeraraghavan, A.[Ashok], Baraniuk, R.G.[Richard G.],
WIRE: Wavelet Implicit Neural Representations,
CVPR23(18507-18516)
IEEE DOI 2309
BibRef

Yang, R.Z.[Run-Zhao],
TINC: Tree-Structured Implicit Neural Compression,
CVPR23(18517-18526)
IEEE DOI 2309
BibRef

Lu, H.[Hao], Yu, Z.T.[Zi-Tong], Niu, X.S.[Xue-Song], Chen, Y.C.[Ying-Cong],
Neuron Structure Modeling for Generalizable Remote Physiological Measurement,
CVPR23(18589-18599)
IEEE DOI 2309
BibRef

Kolek, S.[Stefan], Windesheim, R.[Robert], Andrade-Loarca, H.[Hector], Kutyniok, G.[Gitta], Levie, R.[Ron],
Explaining Image Classifiers with Multiscale Directional Image Representation,
CVPR23(18600-18609)
IEEE DOI 2309
BibRef

Gao, S.Y.[Shen-Yuan], Zhou, C.L.[Chun-Luan], Zhang, J.[Jun],
Generalized Relation Modeling for Transformer Tracking,
CVPR23(18686-18695)
IEEE DOI 2309
BibRef

Zhao, H.J.[Hao-Jie], Wang, D.[Dong], Lu, H.C.[Hu-Chuan],
Representation Learning for Visual Object Tracking by Masked Appearance Transfer,
CVPR23(18696-18705)
IEEE DOI 2309
BibRef

Girase, H.[Harshayu], Agarwal, N.[Nakul], Choi, C.[Chiho], Mangalam, K.[Karttikeya],
Latency Matters: Real-Time Action Forecasting Transformer,
CVPR23(18759-18769)
IEEE DOI 2309
BibRef

Khattak, M.U.[Muhammad Uzair], Rasheed, H.[Hanoona], Maaz, M.[Muhammad], Khan, S.[Salman], Khan, F.S.[Fahad Shahbaz],
MaPLe: Multi-modal Prompt Learning,
CVPR23(19113-19122)
IEEE DOI 2309
BibRef

Chen, A.[Aochuan], Yao, Y.G.[Yu-Guang], Chen, P.Y.[Pin-Yu], Zhang, Y.H.[Yi-Hua], Liu, S.J.[Si-Jia],
Understanding and Improving Visual Prompting: A Label-Mapping Perspective,
CVPR23(19133-19143)
IEEE DOI 2309
BibRef

Kim, J.[Jinwoo], Choi, J.[Janghyuk], Choi, H.J.[Ho-Jin], Kim, S.J.[Seon Joo],
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning,
CVPR23(19198-19207)
IEEE DOI 2309
BibRef

El Banani, M.[Mohamed], Desai, K.[Karan], Johnson, J.[Justin],
Learning Visual Representations via Language-Guided Sampling,
CVPR23(19208-19220)
IEEE DOI 2309
BibRef

Pan, Z.X.[Zheng-Xin], Wu, F.Y.[Fang-Yu], Zhang, B.L.[Bai-Ling],
Fine-grained Image-Text Matching by Cross-modal Hard Aligning Network,
CVPR23(19275-19284)
IEEE DOI 2309
BibRef

Iscen, A.[Ahmet], Fathi, A.[Alireza], Schmid, C.[Cordelia],
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data,
CVPR23(19295-19304)
IEEE DOI 2309
BibRef

Ye, M.Y.[Mao-Yuan], Zhang, J.[Jing], Zhao, S.S.[Shan-Shan], Liu, J.[Juhua], Liu, T.L.[Tong-Liang], Du, B.[Bo], Tao, D.C.[Da-Cheng],
DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting,
CVPR23(19348-19357)
IEEE DOI 2309
BibRef

Fang, Y.X.[Yu-Xin], Wang, W.[Wen], Xie, B.[Binhui], Sun, Q.[Quan], Wu, L.[Ledell], Wang, X.G.[Xing-Gang], Huang, T.J.[Tie-Jun], Wang, X.L.[Xin-Long], Cao, Y.[Yue],
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale,
CVPR23(19358-19369)
IEEE DOI 2309
BibRef

Zhu, S.[Sijie], Yang, L.J.[Lin-Jie], Chen, C.[Chen], Shah, M.[Mubarak], Shen, X.H.[Xiao-Hui], Wang, H.[Heng],
$R^2$ Former: Unified Retrieval and Reranking Transformer for Place Recognition,
CVPR23(19370-19380)
IEEE DOI 2309
BibRef

Ofri-Amar, D.[Dolev], Geyer, M.[Michal], Kasten, Y.[Yoni], Dekel, T.[Tali],
Neural Congealing: Aligning Images to a Joint Semantic Atlas,
CVPR23(19403-19412)
IEEE DOI 2309
BibRef

Liu, W.H.[Wei-Huang], Shen, X.[Xi], Pun, C.M.[Chi-Man], Cun, X.D.[Xiao-Dong],
Explicit Visual Prompting for Low-Level Structure Segmentations,
CVPR23(19434-19445)
IEEE DOI 2309
BibRef

Fan, Y.F.[Yun-Feng], Xu, W.C.[Wen-Chao], Wang, H.Z.[Hao-Zhao], Wang, J.X.[Jun-Xiao], Guo, S.[Song],
PMR: Prototypical Modal Rebalance for Multimodal Learning,
CVPR23(20029-20038)
IEEE DOI 2309
BibRef

Wei, S.[Shicai], Luo, C.[Chunbo], Luo, Y.[Yang],
MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning,
CVPR23(20039-20049)
IEEE DOI 2309
BibRef

Wang, S.[Shuai], Zhang, D.[Daoan], Yan, Z.[Zipei], Zhang, J.G.[Jian-Guo], Li, R.[Rui],
Feature Alignment and Uniformity for Test Time Adaptation,
CVPR23(20050-20060)
IEEE DOI 2309
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Li, Z.H.[Zhi-Heng], Evtimov, I.[Ivan], Gordo, A.[Albert], Hazirbas, C.[Caner], Hassner, T.[Tal], Ferrer, C.C.[Cristian Canton], Xu, C.L.[Chen-Liang], Ibrahim, M.[Mark],
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others,
CVPR23(20071-20082)
IEEE DOI 2309
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Ye, J.W.[Jing-Wen], Liu, S.[Songhua], Wang, X.C.[Xin-Chao],
Partial Network Cloning,
CVPR23(20137-20146)
IEEE DOI 2309
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Peña, F.A.G.[Fidel A. Guerrero], Medeiros, H.R.[Heitor Rapela], Dubail, T.[Thomas], Aminbeidokhti, M.[Masih], Granger, E.[Eric], Pedersoli, M.[Marco],
Re-basin via implicit Sinkhorn differentiation,
CVPR23(20237-20246)
IEEE DOI 2309
BibRef

Zhang, X.X.[Xing-Xuan], Xu, R.Z.[Ren-Zhe], Yu, H.[Han], Zou, H.[Hao], Cui, P.[Peng],
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization,
CVPR23(20247-20257)
IEEE DOI 2309
BibRef

Han, M.Q.[Meng-Qiao], Pan, L.Y.[Li-Yuan], Liu, X.B.[Xia-Bi],
AstroNet: When Astrocyte Meets Artificial Neural Network,
CVPR23(20258-20268)
IEEE DOI 2309
BibRef

Ding, N.[Ning], Tang, Y.[Yehui], Han, K.[Kai], Xu, C.[Chao], Wang, Y.H.[Yun-He],
Network Expansion For Practical Training Acceleration,
CVPR23(20269-20279)
IEEE DOI 2309
BibRef

Ren, J.[Jie], Li, M.J.[Ming-Jie], Chen, Q.[Qirui], Deng, H.Q.[Hui-Qi], Zhang, Q.[Quanshi],
Defining and Quantifying the Emergence of Sparse Concepts in DNNs,
CVPR23(20280-20289)
IEEE DOI 2309
BibRef

Garg, I.[Isha], Roy, K.[Kaushik],
Samples with Low Loss Curvature Improve Data Efficiency,
CVPR23(20290-20300)
IEEE DOI 2309
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Xiao, Y.[Yao], Tang, Z.[Ziyi], Wei, P.X.[Peng-Xu], Liu, C.[Cong], Lin, L.[Liang],
Masked Images Are Counterfactual Samples for Robust Fine-Tuning,
CVPR23(20301-20310)
IEEE DOI 2309
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Qraitem, M.[Maan], Saenko, K.[Kate], Plummer, B.A.[Bryan A.],
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation,
CVPR23(20311-20320)
IEEE DOI 2309
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Tomar, D.[Devavrat], Vray, G.[Guillaume], Bozorgtabar, B.[Behzad], Thiran, J.P.[Jean-Philippe],
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation,
CVPR23(20341-20350)
IEEE DOI 2309
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Li, X.D.[Xiao-Dan], Chen, Y.F.[Yue-Feng], Zhu, Y.[Yao], Wang, S.H.[Shu-Hui], Zhang, R.[Rong], Xue, H.[Hui],
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing,
CVPR23(20371-20381)
IEEE DOI 2309
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Huang, H.[Hao], Chen, Z.Y.[Zi-Yan], Chen, H.[Huanran], Wang, Y.T.[Yong-Tao], Zhang, K.[Kevin],
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection,
CVPR23(20514-20523)
IEEE DOI 2309
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Yin, S.L.[Sheng-Lin], Yao, K.[Kelu], Shi, S.[Sheng], Du, Y.Z.[Yang-Zhou], Xiao, Z.[Zhen],
AGAIN: Adversarial Training with Attribution Span Enlargement and Hybrid Feature Fusion,
CVPR23(20544-20553)
IEEE DOI 2309
BibRef

Wang, H.J.[Hong-Jun], Wang, Y.[Yisen],
Generalist: Decoupling Natural and Robust Generalization,
CVPR23(20554-20563)
IEEE DOI 2309
BibRef

Wang, Y.[Yimu], Zhang, D.[Dinghuai], Wu, Y.H.[Yi-Han], Huang, H.[Heng], Zhang, H.Y.[Hong-Yang],
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets,
CVPR23(20564-20574)
IEEE DOI 2309
BibRef

Lin, H.T.[Hao-Tong], Wang, Q.Q.[Qian-Qian], Cai, R.[Ruojin], Peng, S.[Sida], Averbuch-Elor, H.[Hadar], Zhou, X.W.[Xiao-Wei], Snavely, N.[Noah],
Neural Scene Chronology,
CVPR23(20752-20761)
IEEE DOI 2309
BibRef

Côté, G.[Geoffroi], Mannan, F.[Fahim], Thibault, S.[Simon], Lalonde, J.F.[Jean-François], Heide, F.[Felix],
The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection,
CVPR23(20803-20812)
IEEE DOI 2309
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Kawahara, R.[Ryo], Kuo, M.Y.J.[Meng-Yu Jennifer], Nobuhara, S.[Shohei],
Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction,
CVPR23(20813-20822)
IEEE DOI 2309
BibRef

Qiu, J.X.[Jia-Xiong], Jiang, P.T.[Peng-Tao], Zhu, Y.F.[Yi-Fan], Yin, Z.X.[Ze-Xin], Cheng, M.M.[Ming-Ming], Ren, B.[Bo],
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections,
CVPR23(20823-20833)
IEEE DOI 2309
BibRef

Zhang, C.[Congyi], Lin, G.[Guying], Yang, L.[Lei], Li, X.[Xin], Komura, T.[Taku], Schaefer, S.[Scott], Keyser, J.[John], Wang, W.P.[Wen-Ping],
Surface Extraction from Neural Unsigned Distance Fields,
ICCV23(22474-22483)
IEEE DOI 2401
BibRef

Wang, Y.M.[Yi-Ming], Han, Q.[Qin], Habermann, M.[Marc], Daniilidis, K.[Kostas], Theobalt, C.[Christian], Liu, L.J.[Ling-Jie],
NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction,
ICCV23(3272-3283)
IEEE DOI Code:
WWW Link. 2401
BibRef

Long, X.X.[Xiao-Xiao], Lin, C.[Cheng], Liu, L.J.[Ling-Jie], Liu, Y.[Yuan], Wang, P.[Peng], Theobalt, C.[Christian], Komura, T.[Taku], Wang, W.P.[Wen-Ping],
NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces with Arbitrary Topologies,
CVPR23(20834-20843)
IEEE DOI 2309
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Dogaru, A.[Andreea], Ardelean, A.T.[Andrei Timotei], Ignatyev, S.[Savva], Zakharov, E.[Egor], Burnaev, E.[Evgeny],
Sphere-Guided Training of Neural Implicit Surfaces,
CVPR23(20844-20853)
IEEE DOI 2309
BibRef

Sawdayee, H.[Haim], Vaxman, A.[Amir], Bermano, A.H.[Amit H.],
OReX: Object Reconstruction from Planar Cross-sections Using Neural Fields,
CVPR23(20854-20862)
IEEE DOI 2309
BibRef

Hu, V.T.[Vincent Tao], Zhang, D.W.[David W.], Asano, Y.M.[Yuki M.], Burghouts, G.J.[Gertjan J.], Snoek, C.G.M.[Cees G. M.],
Self-Guided Diffusion Models,
CVPR23(18413-18422)
IEEE DOI 2309
BibRef

Karnewar, A.[Animesh], Vedaldi, A.[Andrea], Novotny, D.[David], Mitra, N.J.[Niloy J.],
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images,
CVPR23(18423-18433)
IEEE DOI 2309
BibRef

Qin, Y.M.[Yi-Ming], Zheng, H.J.[Huang-Jie], Yao, J.[Jiangchao], Zhou, M.Y.[Ming-Yuan], Zhang, Y.[Ya],
Class-Balancing Diffusion Models,
CVPR23(18434-18443)
IEEE DOI 2309
BibRef

Zhang, H.[Han], Feng, R.L.[Rui-Li], Yang, Z.T.[Zhan-Tao], Huang, L.H.[Liang-Hua], Liu, Y.[Yu], Zhang, Y.F.[Yi-Fei], Shen, Y.J.[Yu-Jun], Zhao, D.L.[De-Li], Zhou, J.[Jingren], Cheng, F.[Fan],
Dimensionality-Varying Diffusion Process,
CVPR23(14307-14316)
IEEE DOI 2309
BibRef

Meng, C.L.[Chen-Lin], Rombach, R.[Robin], Gao, R.Q.[Rui-Qi], Kingma, D.[Diederik], Ermon, S.[Stefano], Ho, J.[Jonathan], Salimans, T.[Tim],
On Distillation of Guided Diffusion Models,
CVPR23(14297-14306)
IEEE DOI 2309
BibRef

Go, H.[Hyojun], Lee, Y.[Yunsung], Kim, J.[JinYoung], Lee, S.H.[Seung-Hyun], Jeong, M.[Myeongho], Lee, H.S.[Hyun Seung], Choi, S.[Seungtaek],
Towards Practical Plug-and-Play Diffusion Models,
CVPR23(1962-1971)
IEEE DOI 2309
BibRef

Shang, Y.Z.[Yu-Zhang], Yuan, Z.H.[Zhi-Hang], Xie, B.[Bin], Wu, B.Z.[Bing-Zhe], Yan, Y.[Yan],
Post-Training Quantization on Diffusion Models,
CVPR23(1972-1981)
IEEE DOI 2309
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Zhang, G.Q.[Guo-Qiang], Niwa, K.[Kenta], Kleijn, W.B.[W. Bastiaan],
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation,
CVPR23(1421-1429)
IEEE DOI 2309
BibRef

Somepalli, G.[Gowthami], Singla, V.[Vasu], Goldblum, M.[Micah], Geiping, J.[Jonas], Goldstein, T.[Tom],
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models,
CVPR23(6048-6058)
IEEE DOI 2309
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Chung, H.[Hyungjin], Kim, J.[Jeongsol], Kim, S.[Sehui], Ye, J.C.[Jong Chul],
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems,
CVPR23(6059-6069)
IEEE DOI 2309
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Okada, G.[Gouki], Nakashizuka, M.[Makoto],
Deep Unrolling of Diffusion Process with Morphological Laplacian and its Implementation with SIMD Instructions,
ICIP22(2931-2935)
IEEE DOI 2211
Training, Laplace equations, Program processors, Partial differential equations, Microprocessors, Noise reduction, deep network BibRef

Liu, P.R.[Pei-Rong], Lee, Y.[Yueh], Aylward, S.[Stephen], Niethammer, M.[Marc],
Deep Decomposition for Stochastic Normal-Abnormal Transport,
CVPR22(18769-18779)
IEEE DOI 2210
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Diffusion, Pre-Smoothing and Gradient Descent,
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Kim, K.I.[Kwang In], Chang, H.J.[Hyung Jin],
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations,
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Yang, F.[Fang], Chai, L.[Li], Chen, D.[Da], Cohen, L.[Laurent],
Geodesic via Asymmetric Heat Diffusion Based on Finsler Metric,
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Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations,
CVPR17(926-935)
IEEE DOI 1711
Closed-form solutions, Image retrieval, Indexing, Manifolds, Matrix decomposition, Symmetric matrices BibRef

Gu, X.[Xuan], Sidén, P.[Per], Wegmann, B.[Bertil], Eklund, A.[Anders], Villani, M.[Mattias], Knutsson, H.[Hans],
Bayesian Diffusion Tensor Estimation with Spatial Priors,
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Thuerck, D.[Daniel], Kuijper, A.[Arjan],
Lazy Nonlinear Diffusion Parameter Estimation,
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Donoser, M.[Michael], Bischof, H.[Horst],
Diffusion Processes for Retrieval Revisited,
CVPR13(1320-1327)
IEEE DOI 1309
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ICIP11(73-76).
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Wang, H.N.[Hong-Nan], Zhao, C.X.[Chun-Xia], Zhang, H.F.[Hao-Feng], Hu, Y.[Yong], Sun, M.M.[Ming-Ming],
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ICARCV08(114-118).
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Mandava, A.K.[Ajay K.], Regentova, E.E.[Emma E.],
Adaptive Non-linear Diffusion in Wavelet Domain,
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ICIP10(4141-4144).
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Krajsek, K.[Kai], Scharr, H.[Hanno],
Diffusion filtering without parameter tuning: Models and inference tools,
CVPR10(2536-2543).
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Seo, D.H.[Do-Hyung], Vemuri, B.C.[Baba C.],
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ICIP09(2969-2972).
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Nishiguchi, H.[Haruhiko], Imiya, A.[Atsushi], Sakai, T.[Tomoya],
Laplacian Based Non-Linear Diffusion Filtering,
ICPR06(III: 838-841).
IEEE DOI 0609
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Hierarchical Tree of Image Derived by Diffusion Filtering,
IWCIA06(453-465).
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Dargent, R., Lavialle, O., Guillon, S., Baylou, P.,
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ICPR04(III: 679-682).
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Jiang, H.[Han], Moloney, C.,
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ICIP02(I: 832-835).
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Tang, B., Sapiro, G.,
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IEEE DOI 0008
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Reaction-diffusion Systems for Hypothesis Propagation,
ICPR00(Vol III: 543-546).
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Toczyski, W.D., Papanikolopoulos, N.P.,
Complementary Linear Biases in Spatial Derivative Estimation for Improving Geometry-driven Diffusion Processes,
ICPR00(Vol III: 1-6).
IEEE DOI 0009
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Xu, L.Q.,
Data-driven Nonlinear Diffusion for Object Segmentation,
ICIP00(Vol I: 319-322).
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ICIP98(III: 390-393).
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ICIP97(III: 372-375).
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Diffusion Process, Survey, Overview .

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