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Image restoration models often face the simultaneous interaction of multiple degradations in real-world scenarios.
Vision transformers for single image dehazing
Yuda Song, Zhuqing He, Hui Qian, and Xin Du · 1941
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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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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Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H Miller, and Sebastian Riedel · 2019
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Progressive image deraining networks: A better and simpler baseline
Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, and Deyu Meng · 2019
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Spatial attentive single-image deraining with a high quality real rain dataset
Tianyu Wang, Xin Yang, Ke Xu, Shaozhe Chen, Qiang Zhang, and Rynson WH Lau · 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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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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Jstasr: Joint size and transparency-aware snow removal algorithm based on modified partial convolution and veiling effect removal
Wei-Ting Chen, Hao-Yu Fang, Jian-Jiun Ding, Chen-Che Tsai, and Sy-Yen Kuo · 2020
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Detail-recovery image deraining via context aggregation networks
Sen Deng, Mingqiang Wei, Jun Wang, Yidan Feng, Luming Liang, Haoran Xie, Fu Lee Wang, and Meng Wang · 2020
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Multi-scale boosted dehazing network with dense feature fusion
Dong Hang, Pan Jinshan, Hu Zhe, Lei Xiang, Zhang Xinyi, Wang Fei, and Yang Ming-Hsuan · 2020
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Distilling image dehazing with heterogeneous task imitation
Ming Hong, Yuan Xie, Cuihua Li, and Yanyun Qu · 2020
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All in one bad weather removal using architectural search
Ruoteng Li, Robby T Tan, and Loong-Fah Cheong · 2020
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Ffa-net: Feature fusion attention network for single image dehazing
Xu Qin, Zhilin Wang, Yuanchao Bai, Xiaodong Xie, and Huizhu Jia · 2020
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Learning enriched features for real image restoration and enhancement
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao · 2020
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All snow removed: Single image desnowing algorithm using hierarchical dual-tree complex wavelet representation and contradict channel loss
Wei-Ting Chen, Hao-Yu Fang, Cheng-Lin Hsieh, Cheng-Che Tsai, I Chen, Jian-Jiun Ding, Sy-Yen Kuo, et al · 2021
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Dw-gan: A discrete wavelet transform gan for nonhomogeneous dehazing
Minghan Fu, Huan Liu, Yankun Yu, Jun Chen, and Keyan Wang · 2021
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Efficientderain: Learning pixel-wise dilation filtering for high-efficiency single-image deraining
Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, and Yang Liu · 2021
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Enlightengan: Deep light enhancement without paired supervision
Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, and Zhangyang Wang · 2021
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The power of scale for parameter-efficient prompt tuning
Brian Lester, Rami Al-Rfou, and Noah Constant · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Nighttime visibility enhancement by increasing the dynamic range and suppression of light effects
Aashish Sharma and Robby T Tan · 2021
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Domain adaptation via prompt learning
Chunjiang Ge, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, and Gao Huang · 2023
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Vision transformer with super token sampling
Huaibo Huang, Xiaoqiang Zhou, Jie Cao, Ran He, and Tieniu Tan · 2023
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Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Restoring vision in adverse weather conditions with patch-based denoising diffusion models
Ozan Özdenizci and Robert Legenstein · 2023
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Restoring vision in adverse weather conditions with patch-based denoising diffusion models
Ozan Özdenizci and Robert Legenstein · 2023
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Promptir: Prompting for all-in-one image restoration
Vaishnav Potlapalli, Syed Waqas Zamir, Salman Khan, and Fahad Khan · 2023
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Sparse gradient regularized deep retinex network for robust low-light image enhancement
Wenhan Yang, Wenjing Wang, Haofeng Huang, Shiqi Wang, and Jiaying Liu · 2021
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Closing the loop: Joint rain generation and removal via disentangled image translation
Yuntong Ye, Yi Chang, Hanyu Zhou, and Luxin Yan · 2021
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Multi-stage progressive image restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao · 2021
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Deep dense multi-scale network for snow removal using semantic and geometric priors
Kaihao Zhang, Rongqing Li, Yanjiang Yu, Wenhan Luo, and Changsheng Li · 2021
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Visual prompting via image inpainting
Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, and Alexei Efros · 2022
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Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a unified model
Wei-Ting Chen, Zhi-Kai Huang, Cheng-Che Tsai, Hao-Hsiang Yang, Jian-Jiun Ding, and Sy-Yen Kuo · 2022
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Nafssr: Stereo image super-resolution using nafnet
Xiaojie Chu, Liangyu Chen, and Wenqing Yu · 2022
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Images speak in images: A generalist painter for in-context visual learning
Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, and Tiejun Huang · 2023
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Fourmer: An efficient global modeling paradigm for image restoration
Man Zhou, Jie Huang, Chun-Le Guo, and Chongyi Li · 2023
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Learning weather-general and weather-specific features for image restoration under multiple adverse weather conditions
Yurui Zhu, Tianyu Wang, Xueyang Fu, Xuanyu Yang, Xin Guo, Jifeng Dai, Yu Qiao, and Xiaowei Hu · 2023
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Multimodal prompt perceiver: Empower adaptiveness generalizability and fidelity for all-in-one image restoration
Yuang Ai, Huaibo Huang, Xiaoqiang Zhou, Jiexiang Wang, and Ran He · 2024
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Learning a low-level vision generalist via visual task prompt
Xiangyu Chen, Yihao Liu, Yuandong Pu, Wenlong Zhang, Jiantao Zhou, Yu Qiao, and Chao Dong · 2024
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Omni-kernel network for image restoration
Yuning Cui, Wenqi Ren, and Alois Knoll · 2024
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Drive like a human: Rethinking autonomous driving with large language models
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Onerestore: A universal restoration framework for composite degradation
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Drivegpt4: Interpretable end-to-end autonomous driving via large language model
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Drivinggaussian: Composite gaussian splatting for surrounding dynamic autonomous driving scenes
Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun, and Ming-Hsuan Yang · 2024
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