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All-in-one image restoration (AIR) aims to address diverse degradations within a unified model by leveraging informative degradation conditions to guide the restoration process.
Vision transformers for single image dehazing
Song, Y.; He, Z.; Qian, H.; and Du, X. 2023 · 1941
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Learning enriched features for fast image restoration and enhancement
Zamir, S. W.; Arora, A.; Khan, S.; Hayat, M.; Khan, F. S.; Yang, M.-H.; and Shao, L. 2022b · 1948
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Digital image restoration
Banham, M. R.; and Katsaggelos, A. K. 1997 · 1997
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Histograms of oriented gradients for human detection
Dalal, N.; and Triggs, B. 2005 · 2005
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Making a “completely blind” image quality analyzer
Mittal, A.; Soundararajan, R.; and Bovik, A. C. 2012 · 2012
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Contrast enhancement based on layered difference representation of 2D histograms
Lee, C.; Lee, C.; and Kim, C.-S. 2013 · 2013
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Naturalness preserved enhancement algorithm for non-uniform illumination images
Wang, S.; Zheng, J.; Hu, H.-M.; and Li, B. 2013 · 2013
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Perceptual quality assessment for multi-exposure image fusion
Ma, K.; Zeng, K.; and Wang, Z. 2015 · 2015
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Rain streak removal using layer priors
Li, Y.; Tan, R. T.; Guo, X.; Lu, J.; and Brown, M. S. 2016 · 2016
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Deep multi-scale convolutional neural network for dynamic scene deblurring
Nah, S.; Hyun Kim, T.; and Mu Lee, K. 2017 · 2017
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Deep joint rain detection and removal from a single image
Yang, W.; Tan, R. T.; Feng, J.; Liu, J.; Guo, Z.; and Yan, S. 2017 · 2017
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Desnownet: Context-aware deep network for snow removal
Liu, Y.-F.; Jaw, D.-W.; Huang, S.-C.; and Hwang, J.-N. 2018 · 2018
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Attentive generative adversarial network for raindrop removal from a single image
Qian, R.; Tan, R. T.; Yang, W.; Su, J.; and Liu, J. 2018 · 2018
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Deep retinex decomposition for low-light enhancement
Wei, C.; Wang, W.; Yang, W.; and Liu, J. 2018 · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Zhang, R.; Isola, P.; Efros, A. A.; Shechtman, E.; and Wang, O. 2018 · 2018
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Heavy rain image restoration: Integrating physics model and conditional adversarial learning
Li, R.; Cheong, L.-F.; and Tan, R. T. 2019 · 2019
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Human-aware motion deblurring
Shen, Z.; Wang, W.; Lu, X.; Shen, J.; Ling, H.; Xu, T.; and Shao, L. 2019 · 2019
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Multi-scale progressive fusion network for single image deraining
Jiang, K.; Wang, Z.; Yi, P.; Chen, C.; Huang, B.; Luo, Y.; Ma, J.; and Jiang, J. 2020 · 2020
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All in one bad weather removal using architectural search
Li, R.; Tan, R. T.; and Cheong, L.-F. 2020 · 2020
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Learning disentangled feature representation for hybrid-distorted image restoration
Li, X.; Jin, X.; Lin, J.; Liu, S.; Wu, Y.; Yu, T.; Zhou, W.; and Chen, Z. 2020 · 2020
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Real-world blur dataset for learning and benchmarking deblurring algorithms
Rim, J.; Lee, H.; Won, J.; and Cho, S. 2020 · 2020
Cited alongside, same era.
Swinir: Image restoration using swin transformer
Liang, J.; Cao, J.; Sun, G.; Zhang, K.; Van Gool, L.; and Timofte, R. 2021 · 2021
Cited alongside, same era.
Removing raindrops and rain streaks in one go
Quan, R.; Yu, X.; Liang, Y.; and Yang, Y. 2021 · 2021
Cited alongside, same era.
Multi-stage progressive image restoration
Zamir, S. W.; Arora, A.; Khan, S.; Hayat, M.; Khan, F. S.; Yang, M.-H.; and Shao, L. 2021 · 2021
Cited alongside, same era.
Deep dense multi-scale network for snow removal using semantic and depth priors
Zhang, K.; Li, R.; Yu, Y.; Luo, W.; and Li, C. 2021 · 2021
Cited alongside, same era.
Image restoration for under-display camera
Zhou, Y.; Ren, D.; Emerton, N.; Lim, S.; and Large, T. 2021 · 2021
Adverse weather removal with codebook priors
Ye, T.; Chen, S.; Bai, J.; Shi, J.; Xue, C.; Jiang, J.; Yin, J.; Chen, E.; and Liu, Y. 2023 · 2023
Later among the works it cites.
LRT: an efficient low-light restoration transformer for dark light field images
Zhang, S.; Meng, N.; and Lam, E. Y. 2023 · 2023
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Learning weather-general and weather-specific features for image restoration under multiple adverse weather conditions
Zhu, Y.; Wang, T.; Fu, X.; Yang, X.; Guo, X.; Dai, J.; Qiao, Y.; and Hu, X. 2023 · 2023
Later among the works it cites.
LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration
Ai, Y.; Huang, H.; and He, R. 2024 · 2024
Later among the works it cites.
Multimodal prompt perceiver: Empower adaptiveness generalizability and fidelity for all-in-one image restoration
Ai, Y.; Huang, H.; Zhou, X.; Wang, J.; and He, R. 2024 · 2024
Later among the works it cites.
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Cited alongside, same era.
All-in-one image restoration for unknown corruption
Li, B.; Liu, X.; Hu, P.; Wu, Z.; Lv, J.; and Peng, X. 2022 · 2022
Cited alongside, same era.
Maxim: Multi-axis mlp for image processing
Tu, Z.; Talebi, H.; Zhang, H.; Yang, F.; Milanfar, P.; Bovik, A.; and Li, Y. 2022 · 2022
Cited alongside, same era.
Transweather: Transformer-based restoration of images degraded by adverse weather conditions
Valanarasu, J. M. J.; Yasarla, R.; and Patel, V. M. 2022 · 2022
Cited alongside, same era.
Retinexformer: One-stage retinex-based transformer for low-light image enhancement
Cai, Y.; Bian, H.; Lin, J.; Wang, H.; Timofte, R.; and Zhang, Y. 2023 · 2023
Cited alongside, same era.
Learning a sparse transformer network for effective image deraining
Chen, X.; Li, H.; Li, M.; and Pan, J. 2023 · 2023
Cited alongside, same era.
Efficient frequency domain-based transformers for high-quality image deblurring
Kong, L.; Dong, J.; Ge, J.; Li, M.; and Pan, J. 2023 · 2023
Cited alongside, same era.
End-to-end autonomous driving: Challenges and frontiers
Chen, L.; Wu, P.; Chitta, K.; Jaeger, B.; Geiger, A.; and Li, H. 2024 · 2024
Later among the works it cites.
Instructir: High-quality image restoration following human instructions
Conde, M. V.; Geigle, G.; and Timofte, R. 2024 · 2024
Later among the works it cites.
Mambair: A simple baseline for image restoration with state-space model
Guo, H.; Li, J.; Dai, T.; Ouyang, Z.; Ren, X.; and Xia, S.-T. 2024 · 2024
Later among the works it cites.
Latent modulated function for computational optimal continuous image representation
He, Z.; and Jin, Z. 2024 · 2024
Later among the works it cites.
Image deblurring by exploring in-depth properties of transformer
Liang, P.; Jiang, J.; Liu, X.; and Ma, J. 2024 · 2024
Later among the works it cites.
Residual denoising diffusion models
Liu, J.; Wang, Q.; Fan, H.; Wang, Y.; Tang, Y.; and Qu, L. 2024 · 2024
Later among the works it cites.
Controlling vision-language models for universal image restoration
Luo, Z.; Gustafsson, F. K.; Zhao, Z.; Sjölund, J.; and Schön, T. B. 2024 · 2024
Later among the works it cites.
Restoring images in adverse weather conditions via histogram transformer
Sun, S.; Ren, W.; Gao, X.; Wang, R.; and Cao, X. 2024 · 2024
Later among the works it cites.
Gridformer: Residual dense transformer with grid structure for image restoration in adverse weather conditions
Wang, T.; Zhang, K.; Shao, Z.; Luo, W.; Stenger, B.; Lu, T.; Kim, T.-K.; Liu, W.; and Li, H. 2024 · 2024
Later among the works it cites.
Proxy and Cross-Stripes Integration Transformer for Remote Sensing Image Dehazing
Zhang, X.; Xie, F.; Ding, H.; Yan, S.; and Shi, Z. 2024 · 2024
Later among the works it cites.
Selective hourglass mapping for universal image restoration based on diffusion model
Zheng, D.; Wu, X.-M.; Yang, S.; Zhang, J.; Hu, J.-F.; and Zheng, W.-S. 2024 · 2024
Later among the works it cites.
Adair: Adaptive all-in-one image restoration via frequency mining and modulation
Cui, Y.; Zamir, S. W.; Khan, S.; Knoll, A.; Shah, M.; and Khan, F. S. 2025 · 2025
Closest in time.
MB-TaylorFormer V2: improved multi-branch linear transformer expanded by Taylor formula for image restoration
Jin, Z.; Qiu, Y.; Zhang, K.; Li, H.; and Luo, W. 2025 · 2025
Closest in time.
Complexity Experts are Task-Discriminative Learners for Any Image Restoration
Zamfir, E.; Wu, Z.; Mehta, N.; Tan, Y.; Paudel, D. P.; Zhang, Y.; and Timofte, R. 2025 · 2025
Closest in time.