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Existing image restoration methods mostly leverage the posterior distribution of natural images.
A spatial processor model for object colour perception
Gershon Buchsbaum · 1980
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Blind super-resolution using a learning-based approach
Isabelle Begin and FR Ferrie · 2004
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The usc-sipi image database: Version 5
Allan G Weber · 2006
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Exposure fusion
Tom Mertens, Jan Kautz, and Frank Van Reeth · 2007
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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A soft map framework for blind super-resolution image reconstruction
Yu He, Kim-Hui Yap, Li Chen, and Lap-Pui Chau · 2009
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Exposure fusion: A simple and practical alternative to high dynamic range photography
Tom Mertens, Jan Kautz, and Frank Van Reeth · 2009
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High dynamic range imaging under noisy observations
Renu M Rameshan, Subhasis Chaudhuri, and Rajbabu Velmurugan · 2011
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Making a “completely blind” image quality analyzer
Anish Mittal, Rajiv Soundararajan, and Alan C Bovik · 2012
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Naturalness preserved enhancement algorithm for non-uniform illumination images
Shuhang Wang, Jin Zheng, Hai-Miao Hu, and Bo Li · 2013
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Image super-resolution using deep convolutional networks
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang · 2015
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
Fisher Yu, Ari Seff, Yinda Zhang, Shuran Song, Thomas Funkhouser, and Jianxiong Xiao · 2015
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Generating images with perceptual similarity metrics based on deep networks
Alexey Dosovitskiy and Thomas Brox · 2016
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Deeply-recursive convolutional network for image super-resolution
Jiwon Kim, Jung Kwon Lee, and Kyoung Mu Lee · 2016
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Learning representations for automatic colorization
Gustav Larsson, Michael Maire, and Gregory Shakhnarovich · 2016
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Colorful image colorization
Richard Zhang, Phillip Isola, and Alexei A Efros · 2016
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Pixel recursive super resolution
Ryan Dahl, Mohammad Norouzi, and Jonathon Shlens · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Deep high dynamic range imaging of dynamic scenes
Nima Khademi Kalantari, Ravi Ramamoorthi, et al · 2017
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Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
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Llnet: A deep autoencoder approach to natural low-light image enhancement
Kin Gwn Lore, Adedotun Akintayo, and Soumik Sarkar · 2017
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The little engine that could: Regularization by denoising (red)
Yaniv Romano, Michael Elad, and Peyman Milanfar · 2017
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Semantic image inpainting with deep generative models
Raymond A Yeh, Chen Chen, Teck Yian Lim, Alexander G Schwing, Mark Hasegawa-Johnson, and Minh N Do · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Image blind denoising with generative adversarial network based noise modeling
Jingwen Chen, Jiawei Chen, Hongyang Chao, and Ming Yang · 2018
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Fsrnet: End-to-end learning face super-resolution with facial priors
Yu Chen, Ying Tai, Xiaoming Liu, Chunhua Shen, and Jian Yang · 2018
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Deep back-projection networks for super-resolution
Muhammad Haris, Gregory Shakhnarovich, and Norimichi Ukita · 2018
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Lightennet: A convolutional neural network for weakly illuminated image enhancement
Chongyi Li, Jichang Guo, Fatih Porikli, and Yanwei Pang · 2018
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Mbllen: Low-light image/video enhancement using cnns
Feifan Lv, Feng Lu, Jianhua Wu, and Chongsoon Lim · 2018
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“zero-shot” super-resolution using deep internal learning
Assaf Shocher, Nadav Cohen, and Michal Irani · 2018
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Deep retinex decomposition for low-light enhancement
Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu · 2018
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Deep high dynamic range imaging with large foreground motions
Shangzhe Wu, Jiarui Xu, Yu-Wing Tai, and Chi-Keung Tang · 2018
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Crafting a toolchain for image restoration by deep reinforcement learning
Ke Yu, Chao Dong, Liang Lin, and Chen Change Loy · 2018
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Unsupervised image super-resolution using cycle-in-cycle generative adversarial networks
Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, and Liang Lin · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better
Orest Kupyn, Tetiana Martyniuk, Junru Wu, and Zhangyang Wang · 2019
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Trinity of pixel enhancement: a joint solution for demosaicking, denoising and super-resolution
Guocheng Qian, Jinjin Gu, Jimmy S Ren, Chao Dong, Furong Zhao, and Juan Lin · 2019
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Singan: Learning a generative model from a single natural image
Tamar Rott Shaham, Tali Dekel, and Tomer Michaeli · 2019
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Low-light image and video enhancement using deep learning: A survey
Chongyi Li, Chunle Guo, Ling-Hao Han, Jun Jiang, Ming-Ming Cheng, Jinwei Gu, and Chen Change Loy · 2021
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Learning to enhance low-light image via zero-reference deep curve estimation
Chongyi Li, Chunle Guo, and Chen Change Loy · 2021
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Swinir: Image restoration using swin transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, and Radu Timofte · 2021
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Flow-based kernel prior with application to blind super-resolution
Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, and Radu Timofte · 2021
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Benchmarking low-light image enhancement and beyond
Jiaying Liu, Dejia Xu, Wenhan Yang, Minhao Fan, and Haofeng Huang · 2021
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Attention-guided network for ghost-free high dynamic range imaging
Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian Reid, and Yanning Zhang · 2019
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Zero-shot restoration of back-lit images using deep internal learning
Lin Zhang, Lijun Zhang, Xiao Liu, Ying Shen, Shaoming Zhang, and Shengjie Zhao · 2019
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Multiple cycle-in-cycle generative adversarial networks for unsupervised image super-resolution
Yongbing Zhang, Siyuan Liu, Chao Dong, Xinfeng Zhang, and Yuan Yuan · 2019
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Kindling the darkness: A practical low-light image enhancer
Yonghua Zhang, Jiawan Zhang, and Xiaojie Guo · 2019
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Blind image deconvolution using deep generative priors
Muhammad Asim, Fahad Shamshad, and Ali Ahmed · 2020
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Learning gradient fields for shape generation
Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, and Bharath Hariharan · 2020
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Wavegrad: Estimating gradients for waveform generation
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Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, and Trevor Darrell · 2021
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Sdedit: Image synthesis and editing with stochastic differential equations
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Improved denoising diffusion probabilistic models
Alexander Quinn Nichol and Prafulla Dhariwal · 2021
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Hdr-gan: Hdr image reconstruction from multi-exposed ldr images with large motions
Yuzhen Niu, Jianbin Wu, Wenxi Liu, Wenzhong Guo, and Rynson WH Lau · 2021
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Exploiting deep generative prior for versatile image restoration and manipulation
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Ntire 2021 challenge on high dynamic range imaging: Dataset, methods and results
Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Ales Leonardis, and Radu Timofte · 2021
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Ntire 2021 challenge on high dynamic range imaging: Dataset, methods and results
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Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
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Score-based generative modeling in latent space
Arash Vahdat, Karsten Kreis, and Jan Kautz · 2021
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Deep learning for hdr imaging: State-of-the-art and future trends
Lin Wang and Kuk-Jin Yoon · 2021
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Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Xintao Wang, Liangbin Xie, Chao Dong, and Ying Shan · 2021
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Unsupervised 3d shape completion through gan inversion
Junzhe Zhang, Xinyi Chen, Zhongang Cai, Liang Pan, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Bo Dai, and Chen Change Loy · 2021
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Designing a practical degradation model for deep blind image super-resolution
Kai Zhang, Jingyun Liang, Luc Van Gool, and Radu Timofte · 2021
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Beyond brightening low-light images
Yonghua Zhang, Xiaojie Guo, Jiayi Ma, Wei Liu, and Jiawan Zhang · 2021
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Ultra-high-definition image dehazing via multi-guided bilateral learning
Zhuoran Zheng, Wenqi Ren, Xiaochun Cao, Xiaobin Hu, Tao Wang, Fenglong Song, and Xiuyi Jia · 2021
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Blended diffusion for text-driven editing of natural images
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Perception prioritized training of diffusion models
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Bigprior: Toward decoupling learned prior hallucination and data fidelity in image restoration
Majed El Helou and Sabine Süsstrunk · 2022
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Vector quantized diffusion model for text-to-image synthesis
Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, and Baining Guo · 2022
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Cascaded diffusion models for high fidelity image generation
Jonathan Ho, Chitwan Saharia, William Chan, David J Fleet, Mohammad Norouzi, and Tim Salimans · 2022
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Denoising diffusion restoration models
Bahjat Kawar, Michael Elad, Stefano Ermon, and Jiaming Song · 2022
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Restoring vision in adverse weather conditions with patch-based denoising diffusion models
Ozan Özdenizci and Robert Legenstein · 2022
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Pyramidal denoising diffusion probabilistic models
Dohoon Ryu and Jong Chul Ye · 2022
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Palette: Image-to-image diffusion models
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Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J Fleet, and Mohammad Norouzi · 2022
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Efficient diffusion models for vision: A survey
Anwaar Ulhaq, Naveed Akhtar, and Ganna Pogrebna · 2022
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Guided diffusion model for adversarial purification
Jinyi Wang, Zhaoyang Lyu, Dahua Lin, Bo Dai, and Hongfei Fu · 2022
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Guided diffusion model for adversarial purification from random noise
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