Pu, X.F.[Xiao-Feng],
Wang, Z.M.[Zeng-Mao],
Multistage reaction-diffusion equation network for image
super-resolution,
IET-IPR(15), No. 12, 2021, pp. 2926-2936.
DOI Link
2109
BibRef
Saharia, C.[Chitwan],
Ho, J.[Jonathan],
Chan, W.[William],
Salimans, T.[Tim],
Fleet, D.J.[David J.],
Norouzi, M.[Mohammad],
Image Super-Resolution via Iterative Refinement,
PAMI(45), No. 4, April 2023, pp. 4713-4726.
IEEE DOI
2303
Noise reduction, Superresolution, Task analysis, Iterative methods,
Data models, Faces, Diffusion processes, Image super-resolution,
deep generative models
BibRef
Dahl, R.,
Norouzi, M.,
Shlens, J.,
Pixel Recursive Super Resolution,
ICCV17(5449-5458)
IEEE DOI
1802
image reconstruction, image resolution,
given low resolution image, high magnification factors,
Training
BibRef
Wang, R.[Rui],
Zhou, N.N.[Ning-Ning],
Improved conditional diffusion model for image super-resolution,
IET-IPR(19), No. 1, 2025, pp. e13313.
DOI Link
2501
image enhancement, image resolution, learning (artificial intelligence)
BibRef
Yang, C.X.[Cui-Xin],
Dong, R.K.[Rong-Kang],
Xiao, J.[Jun],
Zhang, C.[Cong],
Lam, K.M.[Kin-Man],
Zhou, F.[Fei],
Qiu, G.P.[Guo-Ping],
Geometric Distortion Guided Transformer for
Omnidirectional Image Super-Resolution,
CirSysVideo(35), No. 6, June 2025, pp. 5166-5181.
IEEE DOI
2507
Distortion, Transformers, Superresolution, Image restoration,
Image reconstruction, Training, Shape, Diffusion models, transformer
BibRef
Liu, X.H.[Xu-Hui],
Gao, S.C.[Si-Cheng],
Zeng, B.[Bohan],
Zhang, L.P.[Lu-Ping],
Wang, T.[Tian],
Liu, J.Z.[Jian-Zhuang],
Zhang, B.C.[Bao-Chang],
Implicit Diffusion Models for Continuous Super-Resolution,
IJCV(133), No. 9, September 2025, pp. 6535-6557.
Springer DOI
2509
BibRef
Gao, S.C.[Si-Cheng],
Liu, X.H.[Xu-Hui],
Zeng, B.[Bohan],
Xu, S.[Sheng],
Li, Y.J.[Yan-Jing],
Luo, X.Y.[Xiao-Yan],
Liu, J.Z.[Jian-Zhuang],
Zhen, X.T.[Xian-Tong],
Zhang, B.C.[Bao-Chang],
Implicit Diffusion Models for Continuous Super-Resolution,
CVPR23(10021-10030)
IEEE DOI
2309
BibRef
Yue, Z.S.[Zong-Sheng],
Wang, J.Y.[Jian-Yi],
Loy, C.C.[Chen Change],
Efficient Diffusion Model for Image Restoration by Residual Shifting,
PAMI(47), No. 1, January 2025, pp. 116-130.
IEEE DOI
2412
Diffusion models, Image restoration, Noise, Degradation,
Superresolution, Schedules, Image synthesis, Face restoration, noise schedule
BibRef
Wang, J.Y.[Jian-Yi],
Yue, Z.S.[Zong-Sheng],
Zhou, S.C.[Shang-Chen],
Chan, K.C.K.[Kelvin C. K.],
Loy, C.C.[Chen Change],
Exploiting Diffusion Prior for Real-World Image Super-Resolution,
IJCV(132), No. 12, December 2024, pp. 5929-5949.
Springer DOI
2501
BibRef
Huang, D.[Detian],
Song, J.X.[Jia-Xun],
Huang, X.Q.[Xiao-Qian],
Hu, Z.Z.[Zhen-Zhen],
Zeng, H.Q.[Huan-Qiang],
Multi-Modal Prior-Guided Diffusion Model for Blind Image
Super-Resolution,
SPLetters(32), 2025, pp. 316-320.
IEEE DOI
2501
Image restoration, Feature extraction, Degradation, Transformers,
Diffusion models, Visualization, Superresolution, Navigation,
transformer model
BibRef
Huang, D.[Detian],
Ruan, M.H.[Miao-Hua],
Guo, Y.H.[Yao-Hui],
Hu, Z.Z.[Zhen-Zhen],
Zeng, H.Q.[Huan-Qiang],
EPDiff: Enhancing Prior-guided Diffusion model for Real-world Image
Super-Resolution,
CVIU(259), 2025, pp. 104453.
Elsevier DOI
2509
Blind super-resolution, Text-to-image diffusion model,
Semantic prompt, ControlNet
BibRef
Chen, J.Y.[Jun-Yang],
Pan, J.S.[Jin-Shan],
Dong, J.X.[Jiang-Xin],
FaithDiff: Unleashing Diffusion Priors for Faithful Image
Super-resolution,
CVPR25(28188-28197)
IEEE DOI
2508
Visualization, Image synthesis, Superresolution,
Diffusion processes, Diffusion models, Feature extraction,
image super-resolution
BibRef
Zhang, L.[Leheng],
You, W.Y.[Wei-Yi],
Shi, K.[Kexuan],
Gu, S.[Shuhang],
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion
Model,
CVPR25(17980-17989)
IEEE DOI
2508
Training, Uncertainty, Perturbation methods, Image edge detection,
Noise, Superresolution, Pipelines, Diffusion processes,
Noise level
BibRef
Zhu, L.[Libo],
Li, J.[Jianze],
Qin, H.T.[Hao-Tong],
Li, W.B.[Wen-Bo],
Zhang, Y.[Yulun],
Guo, Y.[Yong],
Yang, X.K.[Xiao-Kang],
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step
Diffusion based Image Super-Resolution,
CVPR25(12778-12788)
IEEE DOI Code:
WWW Link.
2508
Training, Adaptation models, Visualization, Quantization (signal),
Computational modeling, Superresolution, Noise reduction,
post-training quantization
BibRef
Yang, H.[Haosen],
Bulat, A.[Adrian],
Hadji, I.[Isma],
Pham, H.X.[Hai X.],
Zhu, X.T.[Xia-Tian],
Tzimiropoulos, G.[Georgios],
Martinez, B.[Brais],
FAM Diffusion: Frequency and Attention Modulation for High-Resolution
Image Generation with Stable Diffusion,
CVPR25(2459-2468)
IEEE DOI Code:
WWW Link.
2508
Training, Image resolution, Frequency modulation, Image synthesis,
Diffusion models, Distortion
BibRef
Yue, Z.S.[Zong-Sheng],
Liao, K.[Kang],
Loy, C.C.[Chen Change],
Arbitrary-steps Image Super-resolution via Diffusion Inversion,
CVPR25(23153-23163)
IEEE DOI Code:
WWW Link.
2508
Degradation, Noise, Superresolution, Diffusion processes,
Diffusion models, Distance measurement, Trajectory,
noise prediction
BibRef
Li, R.[Runyi],
Sheng, X.[Xuhan],
Li, W.Q.[Wei-Qi],
Zhang, J.[Jian],
OmniSSR: Zero-Shot Omnidirectional Image Super-resolution Using Stable
Diffusion Model,
ECCV24(XXXI: 198-216).
Springer DOI
2412
BibRef
Noroozi, M.[Mehdi],
Hadji, I.[Isma],
Martinez, B.[Brais],
Bulat, A.[Adrian],
Tzimiropoulos, G.[Georgios],
You Only Need One Step: Fast Super-resolution with Stable Diffusion via
Scale Distillation,
ECCV24(XXIX: 145-161).
Springer DOI
2412
BibRef
Fan, Y.T.[Yuan-Ting],
Liu, C.X.[Cheng-Xu],
Yin, N.Z.[Neng-Zhong],
Gao, C.L.[Chang-Long],
Qian, X.M.[Xue-Ming],
Adadiffsr: Adaptive Region-aware Dynamic Acceleration Diffusion Model
for Real-world Image Super-resolution,
ECCV24(XII: 396-413).
Springer DOI
2412
BibRef
Qu, Y.P.[Yun-Peng],
Yuan, K.[Kun],
Zhao, K.[Kai],
Xie, Q.Z.[Qi-Zhi],
Hao, J.H.[Jin-Hua],
Sun, M.[Ming],
Zhou, C.[Chao],
XPSR: Cross-modal Priors for Diffusion-based Image Super-resolution,
ECCV24(XI: 285-303).
Springer DOI
2412
BibRef
Doi, K.[Kenji],
Okada, S.[Shuntaro],
Yoshihashi, R.[Ryota],
Kataoka, H.[Hirokatsu],
Real-SRGD: Enhancing Real-world Image Super-resolution with
Classifier-free Guided Diffusion,
ACCV24(V: 438-454).
Springer DOI
2412
BibRef
Lin, J.X.[Jun-Xiong],
Wang, Y.[Yan],
Tao, Z.[Zeng],
Wang, B.Y.[Bo-Yang],
Zhao, Q.[Qing],
Wang, H.R.[Hao-Rang],
Tong, X.[Xuan],
Mai, X.J.[Xin-Ji],
Lin, Y.X.[Yu-Xuan],
Song, W.[Wei],
Yu, J.[Jiawen],
Yan, S.Q.[Shao-Qi],
Zhang, W.Q.[Wen-Qiang],
Adaptive Multi-Modal Fusion of Spatially Variant Kernel Refinement with
Diffusion Model for Blind Image Super-Resolution,
ECCV24(LII: 363-380).
Springer DOI
2412
BibRef
Guo, S.J.[Shao-Jie],
Song, H.F.[Hao-Fei],
Li, Q.L.[Qing-Li],
Wang, Y.[Yan],
Spatially-variant Degradation Model for Dataset-free Super-resolution,
ECCV24(XXV: 340-357).
Springer DOI
2412
BibRef
Korkmaz, C.[Cansu],
Cirakman, E.[Ege],
Tekalp, A.M.[A. Murat],
Dogan, Z.[Zafer],
Trustworthy SR: Resolving Ambiguity in Image Super-Resolution Via
Diffusion Models and Human Feedback,
ICIP24(3903-3909)
IEEE DOI
2411
Measurement, Visualization, Image recognition, Art, Inverse problems,
Image synthesis, Superresolution, super-resolution,
human feedback
BibRef
Zheng, Q.P.[Qing-Ping],
Zheng, L.[Ling],
Guo, Y.F.[Yuan-Fan],
Li, Y.[Ying],
Xu, S.[Songcen],
Deng, J.K.[Jian-Kang],
Xu, H.[Hang],
Self-Adaptive Reality-Guided Diffusion for Artifact-Free
Super-Resolution,
CVPR24(25806-25816)
IEEE DOI Code:
WWW Link.
2410
Codes, Superresolution, Noise, Detectors, Distortion, Distance measurement
BibRef
Wang, X.J.[Xiao-Juan],
Kontkanen, J.[Janne],
Curless, B.[Brian],
Seitz, S.M.[Steven M.],
Kemelmacher-Shlizerman, I.[Ira],
Mildenhall, B.[Ben],
Srinivasan, P.[Pratul],
Verbin, D.[Dor],
Holynski, A.[Aleksander],
Generative Powers of Ten,
CVPR24(7173-7182)
IEEE DOI
2410
Insects, Superresolution, Semantics, Distance measurement,
Semantic zoom, Text-to-image, multi-scale diffusion sampling
BibRef
Dong, R.M.[Run-Min],
Yuan, S.[Shuai],
Luo, B.[Bin],
Chen, M.X.[Meng-Xuan],
Zhang, J.X.[Jin-Xiao],
Zhang, L.X.[Li-Xian],
Li, W.J.[Wei-Jia],
Zheng, J.[Juepeng],
Fu, H.[Haohuan],
Building Bridges Across Spatial and Temporal Resolutions:
Reference-Based Super-Resolution via Change Priors and Conditional
Diffusion Model,
CVPR24(27674-27684)
IEEE DOI Code:
WWW Link.
2410
Bridges, Noise reduction, Superresolution, Land surface,
Diffusion models, Robustness, Remote sensing
BibRef
Cuellar-Fierro, J.F.[Jhon F.],
Vargas-Cardona, H.D.[Hernán Darío],
Álvarez, A.M.[Andrés M.],
Orozco, Á.A.[Álvaro A.],
Álvarez, M.A.[Mauricio A.],
Non-stationary Generalized Wishart Processes for Enhancing Resolution
over Diffusion Tensor Fields,
ISVC18(371-381).
Springer DOI
1811
BibRef
Earlier: A1, A2, A5, A3, A4:
Non-stationary Multi-output Gaussian Processes for Enhancing Resolution
over Diffusion Tensor Fields,
CIARP17(168-176).
Springer DOI
1802
BibRef
Vargas-Cardona, H.D.[Hernán Darío],
Álvarez, M.A.[Mauricio A.],
Orozco, Á.A.[Álvaro A.],
Generalized Wishart Processes for Interpolation Over Diffusion Tensor
Fields,
ISVC15(II: 499-508).
Springer DOI
1601
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Handheld, Burst Super Resolution .