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Deep learning-based models for All-In-One Image Restoration (AIOR) have achieved significant advancements in recent years.
Optics of the atmosphere–scattering by molecules and particles
A. Cantor · 1978
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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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Single image haze removal using dark channel prior
Kaiming He, Jian Sun, and Xiaoou Tang · 2009
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Automatic single-image-based rain streaks removal via image decomposition
Li-Wei Kang, Chia-Wen Lin, and Yu-Hsiang Fu · 2012
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Auto-encoding variational bayes
Diederik P Kingma · 2013
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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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O-haze: a dehazing benchmark with real hazy and haze-free outdoor images
Codruta O Ancuti, Cosmin Ancuti, Radu Timofte, and Christophe De Vleeschouwer · 2018
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Learning a deep single image contrast enhancer from multi-exposure images
Jianrui Cai, Shuhang Gu, and Lei Zhang · 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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Deep retinex decomposition for low-light enhancement
Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu · 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 · 2019
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Human-aware motion deblurring
Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, and Ling Shao · 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 W.H. Lau · 2019
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Uncertainty guided multi-scale residual learning-using a cycle spinning cnn for single image de-raining
Rajeev Yasarla and Vishal M Patel · 2019
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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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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, Cheng-Che Tsai, and Sy-Yen Kuo · 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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Confidence measure guided single image de-raining
Rajeev Yasarla and Vishal M Patel · 2020
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Joint transmission map estimation and dehazing using deep networks
He Zhang, Vishwanath Sindagi, and Vishal M. Patel · 2020
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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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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Removing raindrops and rain streaks in one go
Ruijie Quan, Xin Yu, Yuanzhi Liang, and Yi Yang · 2021
Cited alongside, same era.
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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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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Toward real-world single image deraining: A new benchmark and beyond
Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi · 2023
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Degae: A new pretraining paradigm for low-level vision
Yihao Liu, Jingwen He, Jinjin Gu, Xiangtao Kong, Yu Qiao, and Chao Dong · 2023
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Controlling vision-language models for universal image restoration
Ziwei Luo, Fredrik K Gustafsson, Zheng Zhao, Jens Sjölund, and Thomas B Schön · 2023
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Diffusionseg: Adapting diffusion towards unsupervised object discovery
Chaofan Ma, Yuhuan Yang, Chen Ju, Fei Zhang, Jinxiang Liu, Yu Wang, Ya Zhang, and Yanfeng Wang · 2023
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Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
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Wei Li, Qiming Zhang, Jing Zhang, Zhen Huang, Xinmei Tian, and Dacheng Tao · 2022
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Enhancing photorealism enhancement
Stephan R Richter, Hassan Abu AlHaija, and Vladlen Koltun · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Transweather: Transformer-based restoration of images degraded by adverse weather conditions
J. Jose Valanarasu, R. Yasarla, and V. M. Patel · 2022
Cited alongside, same era.
Simmim: A simple framework for masked image modeling
Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, and Han Hu · 2022
Cited alongside, same era.
Jianhao Yuan, Francesco Pinto, Adam Davies, Aarushi Gupta, and Philip Torr · 2022
Cited alongside, same era.
Restormer: Efficient transformer for high-resolution image restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang · 2022
Cited alongside, same era.
Later among the works it cites.
Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using diffusion models
Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, and Chunhua Shen · 2023
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Label freedom: Stable diffusion for remote sensing image semantic segmentation data generation
Chenbo Zhao, Yoshiki Ogawa, Shenglong Chen, Zhehui Yang, and Yoshihide Sekimoto · 2023
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Textdiffuser: Diffusion models as text painters
Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, and Furu Wei · 2024
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A survey on all-in-one image restoration: Taxonomy, evaluation and future trends
Junjun Jiang, Zengyuan Zuo, Gang Wu, Kui Jiang, and Xianming Liu · 2024
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A preliminary exploration towards general image restoration
Xiangtao Kong, Jinjin Gu, Yihao Liu, Wenlong Zhang, Xiangyu Chen, Yu Qiao, and Chao Dong · 2024
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Diff-plugin: Revitalizing details for diffusion-based low-level tasks
Yuhao Liu, Zhanghan Ke, Fang Liu, Nanxuan Zhao, and Rynson WH Lau · 2024
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Promptir: Prompting for all-in-one image restoration
Vaishnav Potlapalli, Syed Waqas Zamir, Salman H Khan, and Fahad Shahbaz Khan · 2024
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Awracle: All-weather image restoration using visual in-context learning
Sudarshan Rajagopalan and Vishal M Patel · 2024
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Satsynth: Augmenting image-mask pairs through diffusion models for aerial semantic segmentation
Aysim Toker, Marvin Eisenberger, Daniel Cremers, and Laura Leal-Taixé · 2024
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Depth anything: Unleashing the power of large-scale unlabeled data
Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, and Hengshuang Zhao · 2024
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One-step diffusion with distribution matching distillation
Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Fredo Durand, William T Freeman, and Taesung Park · 2024
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Selective hourglass mapping for universal image restoration based on diffusion model
Dian Zheng, Xiao-Ming Wu, Shuzhou Yang, Jian Zhang, Jian-Fang Hu, and Wei-shi Zheng · 2024
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Instructir: High-quality image restoration following human instructions
Marcos V Conde, Gregor Geigle, and Radu Timofte · 2025
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