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Image restoration is critical for improving the quality of degraded images, which is vital for applications like autonomous driving, security surveillance, and digital content enhancement.
K. He, J. Sun
2010
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Y. Guo, J. Chen
2020
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H. Chen, Y. Wang
2021
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M. Wang, Y. Huang
2022
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B. Li, X. Liu
2022
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J. M. J. Valanarasu
2022
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S. W. Zamir, A. Arora
2022
Earlier work this paper cites.
O. Özdenizci and R. Legenstein, “Restoring vision in adverse weather conditions with patch-based denoising diffusion models,”
2023
Cited alongside, same era.
Y. Zhu, T. Wang
2023
Cited alongside, same era.
J. Wang, K. C. Chan
2023
Cited alongside, same era.
Z. Liang, C. Li
2023
Cited alongside, same era.
2023
Cited alongside, same era.
M. Zhou, J. Huang, C.-L. Guo
2023
Cited alongside, same era.
H. Gupta, O. Kotlyar
2024
Cited alongside, same era.
T. Ye, S. Chen
2024
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J. Lin, Z. Zhang
2024
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V. Potlapalli, S. W. Zamir
2024
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Y. Cui, W. Ren
2024
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Y. Guo, Y. Gao
2025
Closest in time.
Y. Bai, C. Wang
2025
Closest in time.
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