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Despite substantial progress, all-in-one image restoration (IR) grapples with persistent challenges in handling intricate real-world degradations.
Learning enriched features for fast image restoration and enhancement
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao · 1948
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Kodak lossless true color image suite
Rich Franzen · 1999
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A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
David Martin, Charless Fowlkes, Doron Tal, and Jitendra Malik · 2001
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Live image quality assessment database release 2
HR Sheikh · 2005
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Residual learning for effective joint demosaicing-denoising
Yu Guo, Qiyu Jin, Gabriele Facciolo, Tieyong Zeng, and Jean-Michel Morel · 2009
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Color demosaicking by local directional interpolation and nonlocal adaptive thresholding
Lei Zhang, Xiaolin Wu, Antoni Buades, and Xin Li · 2011
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Single image super-resolution from transformed self-exemplars
Jia-Bin Huang, Abhishek Singh, and Narendra Ahuja · 2015
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Waterloo exploration database: New challenges for image quality assessment models
Kede Ma, Zhengfang Duanmu, Qingbo Wu, Zhou Wang, Hongwei Yong, Hongliang Li, and Lei Zhang · 2016
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Traffic-sign detection and classification in the wild
Zhe Zhu, Dun Liang, Songhai Zhang, Xiaolei Huang, Baoli Li, and Shimin Hu · 2016
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Ntire 2017 challenge on single image super-resolution: Dataset and study
Eirikur Agustsson and Radu Timofte · 2017
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Removing rain from single images via a deep detail network
Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, and John Paisley · 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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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
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Aod-net: All-in-one dehazing network
Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, and Dan Feng · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2017
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What can help pedestrian detection?
Jiayuan Mao, Tete Xiao, Yuning Jiang, and Zhimin Cao · 2017
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Deep multi-scale convolutional neural network for dynamic scene deblurring
Seungjun Nah, Tae Hyun Kim, and Kyoung Mu Lee · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang · 2017
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A high-quality denoising dataset for smartphone cameras
Abdelrahman Abdelhamed, Stephen Lin, and Michael S Brown · 2018
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Benchmarking single-image dehazing and beyond
Boyi Li, Wenqi Ren, Dengpan Fu, Dacheng Tao, Dan Feng, Wenjun Zeng, and Zhangyang Wang · 2018
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Desnownet: Context-aware deep network for snow removal
Yun-Fu Liu, Da-Wei Jaw, Shih-Chia Huang, and Jenq-Neng Hwang · 2018
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Attentive generative adversarial network for raindrop removal from a single image
Rui Qian, Robby T Tan, Wenhan Yang, Jiajun Su, and Jiaying Liu · 2018
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Moiré photo restoration using multiresolution convolutional neural networks
Yujing Sun, Yizhou Yu, and Wenping Wang · 2018
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Dense-haze: A benchmark for image dehazing with dense-haze and haze-free images
Codruta O Ancuti, Cosmin Ancuti, Mateu Sbert, and Radu Timofte · 2019
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Deep learning for seeing through window with raindrops
Yuhui Quan, Shijie Deng, Yixin Chen, and Hui Ji · 2019
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Underexposed photo enhancement using deep illumination estimation
Ruixing Wang, Qing Zhang, Chi-Wing Fu, Xiaoyong Shen, Wei-Shi Zheng, and Jiaya Jia · 2019
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Residual non-local attention networks for image restoration
Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, and Yun Fu · 2019
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Defocus deblurring using dual-pixel data
Abdullah Abuolaim and Michael S Brown · 2020
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Nh-haze: An image dehazing benchmark with non-homogeneous hazy and haze-free images
Codruta O Ancuti, Cosmin Ancuti, and Radu Timofte · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Quantization guided jpeg artifact correction
Max Ehrlich, Larry Davis, Ser-Nam Lim, and Abhinav Shrivastava · 2020
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Making pre-trained language models better few-shot learners
Tianyu Gao, Adam Fisch, and Danqi Chen · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Aleš Leonardis, Wengang Zhou, and Qi Tian · 2020
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Real-world blur dataset for learning and benchmarking deblurring algorithms
Denseclip: Language-guided dense prediction with context-aware prompting
Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, and Jiwen Lu · 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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Learning to deblur using light field generated and real defocus images
Lingyan Ruan, Bin Chen, Jizhou Li, and Miuling Lam · 2022
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Stripformer: Strip transformer for fast image deblurring
Fu-Jen Tsai, Yan-Tsung Peng, Yen-Yu Lin, Chung-Chi Tsai, and Chia-Wen Lin · 2022
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Transweather: Transformer-based restoration of images degraded by adverse weather conditions
Jeya Maria Jose Valanarasu, Rajeev Yasarla, and Vishal M Patel · 2022
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Deblurring via stochastic refinement
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Jaesung Rim, Haeyun Lee, Jucheol Won, and Sunghyun Cho · 2020
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Image demoireing with learnable bandpass filters
Bolun Zheng, Shanxin Yuan, Gregory Slabaugh, and Ales Leonardis · 2020
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Pre-trained image processing transformer
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, and Wen Gao · 2021
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Multimodal neurons in artificial neural networks
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Towards flexible blind jpeg artifacts removal
Jiaxi Jiang, Kai Zhang, and Radu Timofte · 2021
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Prefix-tuning: Optimizing continuous prompts for generation
Xiang Lisa Li and Percy Liang · 2021
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Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G Dimakis, and Peyman Milanfar · 2022
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Snr-aware low-light image enhancement
Xiaogang Xu, Ruixing Wang, Chi-Wing Fu, and Jiaya Jia · 2022
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Towards efficient and scale-robust ultra-high-definition image demoiréing
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Uncertainty-aware source-free adaptive image super-resolution with wavelet augmentation transformer
Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Lei Zhang, and Ran He · 2023
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Diffusion posterior sampling for general noisy inverse problems
Hyungjin Chung, Jeongsol Kim, Michael T Mccann, Marc L Klasky, and Jong Chul Ye · 2023
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