Zhou, Z.Y.[Zhen-Yu],
Guo, Z.C.[Zhi-Chang],
Dong, G.[Gang],
Sun, J.B.[Jie-Bao],
Zhang, D.Z.[Da-Zhi],
Wu, B.Y.[Bo-Ying],
A Doubly Degenerate Diffusion Model Based on the Gray Level Indicator
for Multiplicative Noise Removal,
IP(24), No. 1, January 2015, pp. 249-260.
IEEE DOI
1502
image denoising
BibRef
Ma, H.J.[Hong-Jin],
Nie, Y.F.[Yu-Feng],
An edge fusion scheme for image denoising based on anisotropic
diffusion models,
JVCIR(40, Part B), No. 1, 2016, pp. 406-417.
Elsevier DOI
1610
Image denoising
BibRef
Pang, J.H.[Jia-Hao],
Cheung, G.[Gene],
Graph Laplacian Regularization for Image Denoising:
Analysis in the Continuous Domain,
IP(26), No. 4, April 2017, pp. 1770-1785.
IEEE DOI
1704
diffusion
BibRef
Shan, X.J.[Xiu-Jie],
Sun, J.B.[Jie-Bao],
Guo, Z.C.[Zhi-Chang],
Multiplicative Noise Removal Based on the Smooth Diffusion Equation,
JMIV(61), No. 6, July 2019, pp. 763-779.
WWW Link.
1907
BibRef
Chen, Y.J.[Yun-Jin],
Pock, T.[Thomas],
Trainable Nonlinear Reaction Diffusion:
A Flexible Framework for Fast and Effective Image Restoration,
PAMI(39), No. 6, June 2017, pp. 1256-1272.
IEEE DOI
1705
Analytical models, Computational modeling, Diffusion processes,
Image denoising, Image restoration, Mathematical model,
JPEG deblocking, Nonlinear reaction diffusion, image denoising,
image super resolution, loss, specific, training
BibRef
Chen, Y.J.[Yun-Jin],
Yu, W.[Wei],
Pock, T.[Thomas],
On learning optimized reaction diffusion processes for effective
image restoration,
CVPR15(5261-5269)
IEEE DOI
1510
BibRef
Cho, S.I.,
Kang, S.J.,
Geodesic Path-Based Diffusion Acceleration for Image Denoising,
MultMed(20), No. 7, July 2018, pp. 1738-1750.
IEEE DOI
1806
Diffusion processes, Filtering, IP networks, Image denoising,
Image edge detection, Noise reduction, Smoothing methods,
structure tensor
BibRef
Feng, W.[Wensen],
Qiao, P.[Peng],
Chen, Y.J.[Yun-Jin],
Fast and Accurate Poisson Denoising With Trainable Nonlinear
Diffusion,
Cyber(48), No. 6, June 2018, pp. 1708-1719.
IEEE DOI
1805
Computational modeling, Convolution, Diffusion processes,
Image restoration, Noise reduction, Principal component analysis,
trained activation functions
BibRef
Jaouen, V.,
Bert, J.,
Boussion, N.,
Fayad, H.,
Hatt, M.,
Visvikis, D.,
Image Enhancement With PDEs and Nonconservative Advection Flow Fields,
IP(28), No. 6, June 2019, pp. 3075-3088.
IEEE DOI
1905
Image edge detection, Electric shock, Measurement,
Image restoration, Image enhancement, AWGN, Smoothing methods,
anisotropic diffusion
BibRef
Barbeiro, S.[Sílvia],
Lobo, D.[Diogo],
Learning Stable Nonlinear Cross-Diffusion Models for Image Restoration,
JMIV(62), No. 2, February 2020, pp. 223-237.
Springer DOI
2002
BibRef
Qi, H.Q.[Hui-Qing],
Li, F.[Fang],
Chen, P.[Peng],
Tan, S.L.[Sheng-Li],
Luo, X.L.[Xiao-Liu],
Xie, T.[Ting],
Edge-preserving image restoration based on a weighted anisotropic
diffusion model,
PRL(184), 2024, pp. 80-88.
Elsevier DOI
2408
Weighted diffusion coefficient, Partial differential equation,
Multi-scale flux maps, Diffusion coefficient, Image restoration
BibRef
Li, T.[Tong],
Feng, H.[Hansen],
Wang, L.Z.[Li-Zhi],
Zhu, L.[Lin],
Xiong, Z.W.[Zhi-Wei],
Huang, H.[Hua],
Stimulating Diffusion Model for Image Denoising via Adaptive
Embedding and Ensembling,
PAMI(46), No. 12, December 2024, pp. 8240-8257.
IEEE DOI
2411
Diffusion models, Image denoising, Noise reduction, Distortion,
Task analysis, Iterative methods, Image restoration,
distortion-perception
BibRef
Xu, C.H.[Cheng-Hao],
Yan, J.[Jiexi],
Yang, M.[Muli],
Deng, C.[Cheng],
Rethinking Noise Sampling in Class-Imbalanced Diffusion Models,
IP(33), 2024, pp. 6298-6308.
IEEE DOI
2411
Noise, Diffusion models, Head, Training, Tail, Data models,
Training data, Process control, Noise measurement, Interpolation,
image generation
BibRef
Deshpande, R.[Rucha],
Özbey, M.[Muzaffer],
Li, H.[Hua],
Anastasio, M.A.[Mark A.],
Brooks, F.J.[Frank J.],
Assessing the Capacity of a Denoising Diffusion Probabilistic Model
to Reproduce Spatial Context,
MedImg(43), No. 10, October 2024, pp. 3608-3620.
IEEE DOI
2411
Biomedical imaging, Context modeling, Stochastic processes,
Noise reduction, Imaging, Noise, Biomedical measurement,
stochastic object model
BibRef
Li, Y.[Yao],
Cheng, L.[Li],
Guo, Z.[Zhichang],
Xing, Y.M.[Yu-Ming],
Deep learning informed diffusion equation model for image denoising,
IET-IPR(18), No. 13, 2024, pp. 4310-4327.
DOI Link
2411
convolutional neural nets, image denoising,
nonlinear equations, partial differential equations
BibRef
Jiang, Y.T.[Yi-Tong],
Zhang, Z.Y.[Zhao-Yang],
Xue, T.F.[Tian-Fan],
Gu, J.[Jinwei],
Autodir: Automatic All-in-one Image Restoration with Latent Diffusion,
ECCV24(XL: 340-359).
Springer DOI
2412
BibRef
Ren, Y.L.[Yu-Lin],
Li, X.[Xin],
Li, B.C.[Bing-Chen],
Wang, X.[Xingrui],
Guo, M.X.[Meng-Xi],
Zhao, S.J.[Shi-Jie],
Zhang, L.[Li],
Chen, Z.B.[Zhi-Bo],
MOE-DIFFIR: Task-customized Diffusion Priors for Universal Compressed
Image Restoration,
ECCV24(IX: 116-134).
Springer DOI
2412
BibRef
Tan, J.T.[Jiang-Tong],
Yu, H.[Hu],
Huang, J.[Jie],
Yang, Z.Z.[Zi-Zheng],
Zhao, F.[Feng],
Diffloss: Unleashing Diffusion Model as Constraint for Training Image
Restoration Network,
ACCV24(IV: 105-123).
Springer DOI
2412
BibRef
Shi, Z.Q.[Zi-Qiang],
Liu, R.J.[Ru-Jie],
Project, Skate, and Refresh: Improved Schrödinger Bridge Sampler for
Image Restoration,
ICIP24(1663-1669)
IEEE DOI
2411
Manifolds, Bridges, Training, Measurement, Estimation error,
Superresolution, Transform coding, Image restoration,
image super-resolution
BibRef
Dao, L.T.H.[Le Thi Hue],
Vien, A.G.[An Gia],
Lee, J.Y.[Joo-Young],
Jeong, S.[Seyoon],
Yang, N.[Naeun],
Lee, C.[Chul],
Content-Aware Supervision for Diffusion-Based Restoration of
Extremely Compressed Background for VCM,
ICIP24(1683-1689)
IEEE DOI
2411
Video coding, Degradation, Image coding, Estimation, Process control,
Diffusion models, Image restoration, Image generation
BibRef
Zheng, D.[Dian],
Wu, X.M.[Xiao-Ming],
Yang, S.[Shuzhou],
Zhang, J.[Jian],
Hu, J.F.[Jian-Fang],
Zheng, W.S.[Wei-Shi],
Selective Hourglass Mapping for Universal Image Restoration Based on
Diffusion Model,
CVPR24(25445-25455)
IEEE DOI Code:
WWW Link.
2410
Image quality, Accuracy, Computational modeling, Source coding,
Benchmark testing, Diffusion models, Universal Image Restoration,
selective hourglass mapping
BibRef
Gao, C.J.[Chen-Jian],
Jiang, B.[Boyan],
Li, X.[Xinghui],
Zhang, Y.P.[Ying-Peng],
Yu, Q.[Qian],
GenesisTex: Adapting Image Denoising Diffusion to Texture Space,
CVPR24(4620-4629)
IEEE DOI
2410
Geometry, Noise, Rendering (computer graphics), Diffusion models
BibRef
Liu, J.W.[Jia-Wei],
Wang, Q.[Qiang],
Fan, H.J.[Hui-Jie],
Wang, Y.[Yinong],
Tang, Y.D.[Yan-Dong],
Qu, L.Q.[Liang-Qiong],
Residual Denoising Diffusion Models,
CVPR24(2773-2783)
IEEE DOI Code:
WWW Link.
2410
Schedules, Image synthesis, Perturbation methods, Noise reduction,
Noise, Diffusion processes, diffusion model, residual,
decouple
BibRef
Ye, H.[Hanrong],
Xu, D.[Dan],
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from
Partially Annotated Data,
CVPR24(27960-27969)
IEEE DOI Code:
WWW Link.
2410
Training, Codes, Noise reduction, Information sharing,
Predictive models, Multitasking
BibRef
Garber, T.[Tomer],
Tirer, T.[Tom],
Image Restoration by Denoising Diffusion Models with Iteratively
Preconditioned Guidance,
CVPR24(25245-25254)
IEEE DOI
2410
Training, Noise, Superresolution, Noise reduction,
Artificial neural networks, Image restoration, zero-shot restoration
BibRef
Ding, Z.[Zheng],
Zhang, X.[Xuaner],
Tu, Z.W.[Zhuo-Wen],
Xia, Z.H.[Zhi-Hao],
Restoration by Generation with Constrained Priors,
CVPR24(2567-2577)
IEEE DOI Code:
WWW Link.
2410
Image quality, Adaptation models, Noise, Noise reduction, Diffusion models,
Image restoration, Restoration, Diffusion Models, Personalization
BibRef
Laroche, C.[Charles],
Almansa, A.[Andrés],
Coupete, E.[Eva],
Fast Diffusion EM: a diffusion model for blind inverse problems with
application to deconvolution,
WACV24(5259-5269)
IEEE DOI Code:
WWW Link.
2404
Degradation, Deconvolution, Computational modeling, Estimation,
Diffusion processes, Approximation algorithms, Image restoration,
image and video synthesis
BibRef
Xia, B.[Bin],
Zhang, Y.[Yulun],
Wang, S.Y.[Shi-Yin],
Wang, Y.T.[Yi-Tong],
Wu, X.L.[Xing-Long],
Tian, Y.[Yapeng],
Yang, W.M.[Wen-Ming],
Van Gool, L.J.[Luc J.],
DiffIR: Efficient Diffusion Model for Image Restoration,
ICCV23(13049-13059)
IEEE DOI Code:
WWW Link.
2401
BibRef
Feng, Z.D.[Zhi-Da],
Zhang, Z.Y.[Zhen-Yu],
Yu, X.T.[Xin-Tong],
Fang, Y.W.[Ye-Wei],
Li, L.X.[Lan-Xin],
Chen, X.[Xuyi],
Lu, Y.X.[Yu-Xiang],
Liu, J.X.[Jia-Xiang],
Yin, W.C.[Wei-Chong],
Feng, S.K.[Shi-Kun],
Sun, Y.[Yu],
Chen, L.[Li],
Tian, H.[Hao],
Wu, H.[Hua],
Wang, H.F.[Hai-Feng],
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with
Knowledge-Enhanced Mixture-of-Denoising-Experts,
CVPR23(10135-10145)
IEEE DOI
2309
BibRef
Luo, Z.W.[Zi-Wei],
Gustafsson, F.K.[Fredrik K.],
Zhao, Z.[Zheng],
Sjölund, J.[Jens],
Schön, T.B.[Thomas B.],
Refusion: Enabling Large-Size Realistic Image Restoration with
Latent-Space Diffusion Models,
NTIRE23(1680-1691)
IEEE DOI
2309
BibRef
Choi, J.Y.[Joo-Young],
Lee, J.[Jungbeom],
Shin, C.[Chaehun],
Kim, S.[Sungwon],
Kim, H.W.[Hyun-Woo],
Yoon, S.[Sungroh],
Perception Prioritized Training of Diffusion Models,
CVPR22(11462-11471)
IEEE DOI
2210
Training, Visualization, Computational modeling, Noise reduction,
Data models, Image restoration,
Image and video synthesis and generation
BibRef
Wang, H.M.[He-Ming],
Mann, R.[Richard],
Vrscay, E.R.[Edward R.],
A Diffusion-Based Two-Dimensional Empirical Mode Decomposition (EMD)
Algorithm for Image Analysis,
ICIAR18(295-305).
Springer DOI
1807
BibRef
Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Image Reconstruction .