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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 .