Including DeepRFT, LoFormer and AdaRevD developed by DeepMed Lab.
2024/07/16 The paper of LoFormer (LoFormer: Local Frequency Transformer for Image Deblurring) is accepted by ACM MM 2024.
2024/02/27 The paper of AdaRevD (AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring) is accepted by CVPR 2024.
2022/11/19 The paper of DeepRFT (Intriguing findings of frequency selection for image deblurring) is accepted by AAAI 2023.
| Model | Paper | Pytorch Code |
|---|---|---|
| DeepRFT-v0 | Deep Residual Fourier Transformation for Single Image Deblurring [arXiv] | DeepRFT-v0 |
| DeepRFT-v1 | Intriguing Findings of Frequency Selection for Image Deblurring [AAAI 2023] | DeepRFT-v1 |
| AdaRevD | AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring [CVPR 2024] | AdaRevD |
| LoFormer | LoFormer: Local Frequency Transformer for Image Deblurring [ACM MM 2024] | LoFormer |
| DeepRFT-v2 | DeepRFTv2: Kernel-level Learning for Image Deblurring | DeepRFT-v2 |
@inproceedings{xintm2025DeepRFTv2,
title = {DeepRFTv2: Fourier Kernel Estimation for Image Deblurring},
author = {Xintian Mao, JIansheng Wang, Xingran Xie, Qingli Li and Yan Wang},
booktitle = {arXiv},
year = {2025}
}
@inproceedings{xintm2024LoFormer,
title = {LoFormer: Local Frequency Transformer for Image Deblurring},
author = {Xintian Mao, JIansheng Wang, Xingran Xie, Qingli Li and Yan Wang},
booktitle = {Proc. ACM MM},
year = {2024}
}
@inproceedings{xintm2024AdaRevD,
title = {AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring},
author = {Xintian Mao, Qingli Li and Yan Wang},
booktitle = {Proc. CVPR},
year = {2024}
}
@inproceedings{xintm2023DeepRFTv1,
title = {Intriguing Findings of Frequency Selection for Image Deblurring},
author = {Xintian Mao, Yiming Liu, Fengze Liu, Qingli Li, Wei Shen and Yan Wang},
booktitle = {Proc. AAAI},
year = {2023}
}
@inproceedings{xintm2021DeepRFTv0,
title={Deep Residual Fourier Transformation for Single Image Deblurring},
author={Xintian Mao, Yiming Liu, Wei Shen, Qingli Li, Yan Wang},
booktitle={arXiv:2111.11745},
year={2021}
}