diff --git a/sections/2023/main/low-level-vision.md b/sections/2023/main/low-level-vision.md index 0ac2d0b..4f5fa0d 100644 --- a/sections/2023/main/low-level-vision.md +++ b/sections/2023/main/low-level-vision.md @@ -35,13 +35,13 @@ | Blur Interpolation Transformer for Real-World Motion From Blur | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://zzh-tech.github.io/BiT/)
[![GitHub](https://img.shields.io/github/stars/zzh-tech/BiT?style=flat)](https://github.com/zzh-tech/BiT) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Zhong_Blur_Interpolation_Transformer_for_Real-World_Motion_From_Blur_CVPR_2023_paper.pdf)
[![arXiv](https://img.shields.io/badge/arXiv-2211.11423-b31b1b.svg)](http://arxiv.org/abs/2211.11423) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=O6cMCEQcUsY) | | Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution | [![GitHub](https://img.shields.io/github/stars/ECNUSR/ETDS?style=flat)](https://github.com/ECNUSR/ETDS) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Chao_Equivalent_Transformation_and_Dual_Stream_Network_Construction_for_Mobile_Image_CVPR_2023_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=puSmTGum6pg) | | Masked Image Training for Generalizable Deep Image Denoising | [![GitHub](https://img.shields.io/github/stars/haoyuc/MaskedDenoising?style=flat)](https://github.com/haoyuc/MaskedDenoising) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Chen_Masked_Image_Training_for_Generalizable_Deep_Image_Denoising_CVPR_2023_paper.pdf)
[![arXiv](https://img.shields.io/badge/arXiv-2303.13132-b31b1b.svg)](http://arxiv.org/abs/2303.13132) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=8DZ2HkmO4gg) | -| CutMIB: Boosting Light Field Super-Resolution via Multi-View Image Blending | [![GitHub](https://img.shields.io/github/stars/zeyuxiao1997/CutMIB?style=flat)](https://github.com/zeyuxiao1997/CutMIB) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Xiao_CutMIB_Boosting_Light_Field_Super-Resolution_via_Multi-View_Image_Blending_CVPR_2023_paper.pdf) | :heavy_minus_sign: | -| Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement | [![GitHub](https://img.shields.io/github/stars/langmanbusi/Semantic-Aware-Low-Light-Image-Enhancement?style=flat)](https://github.com/langmanbusi/Semantic-Aware-Low-Light-Image-Enhancement) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Wu_Learning_Semantic-Aware_Knowledge_Guidance_for_Low-Light_Image_Enhancement_CVPR_2023_paper.pdf)
[![arXiv](https://img.shields.io/badge/arXiv-2304.07039-b31b1b.svg)](http://arxiv.org/abs/2304.07039)| [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=uJLlMehSpjY) | -| Learning a Sparse Transformer Network for Effective Image Deraining
[![CVPR - Highlight](https://img.shields.io/badge/CVPR-Highlight-FFFF00)]() | [![GitHub](https://img.shields.io/github/stars/cschenxiang/DRSformer?style=flat)](https://github.com/cschenxiang/DRSformer) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Chen_Learning_a_Sparse_Transformer_Network_for_Effective_Image_Deraining_CVPR_2023_paper.pdf)
[![arXiv](https://img.shields.io/badge/arXiv-2303.11950-b31b1b.svg)](http://arxiv.org/abs/2303.11950)| :heavy_minus_sign: | -| Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring | [![GitHub](https://img.shields.io/github/stars/xuboming8/DSTNet?style=flat)](https://github.com/xuboming8/DSTNet) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Pan_Deep_Discriminative_Spatial_and_Temporal_Network_for_Efficient_Video_Deblurring_CVPR_2023_paper.pdf) | :heavy_minus_sign: | -| Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions | [![GitHub](https://img.shields.io/github/stars/zhuyr97/WGWS-Net?style=flat)](https://github.com/zhuyr97/WGWS-Net) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Zhu_Learning_Weather-General_and_Weather-Specific_Features_for_Image_Restoration_Under_Multiple_CVPR_2023_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=5DR6hnNFzz0) | -| AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation | [![GitHub](https://img.shields.io/github/stars/MCG-NKU/AMT?style=flat)](https://github.com/MCG-NKU/AMT) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Li_AMT_All-Pairs_Multi-Field_Transforms_for_Efficient_Frame_Interpolation_CVPR_2023_paper.pdf)
[![arXiv](https://img.shields.io/badge/arXiv-2304.09790-b31b1b.svg)](http://arxiv.org/abs/2304.09790) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=D6Q5oLGet24) | -| Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring | [![GitHub](https://img.shields.io/github/stars/Fangzhenxuan/UFPDeblur?style=flat)](https://github.com/Fangzhenxuan/UFPDeblur) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Fang_Self-Supervised_Non-Uniform_Kernel_Estimation_With_Flow-Based_Motion_Prior_for_Blind_CVPR_2023_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=MRR4SwX1ElA) | +| CutMIB: Boosting Light Field Super-Resolution via Multi-View Image Blending | [![GitHub](https://img.shields.io/github/stars/zeyuxiao1997/CutMIB?style=flat)](https://github.com/zeyuxiao1997/CutMIB) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Xiao_CutMIB_Boosting_Light_Field_Super-Resolution_via_Multi-View_Image_Blending_CVPR_2023_paper.pdf) | :heavy_minus_sign: | +| Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement | [![GitHub](https://img.shields.io/github/stars/langmanbusi/Semantic-Aware-Low-Light-Image-Enhancement?style=flat)](https://github.com/langmanbusi/Semantic-Aware-Low-Light-Image-Enhancement) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Wu_Learning_Semantic-Aware_Knowledge_Guidance_for_Low-Light_Image_Enhancement_CVPR_2023_paper.pdf)
[![arXiv](https://img.shields.io/badge/arXiv-2304.07039-b31b1b.svg)](http://arxiv.org/abs/2304.07039) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=uJLlMehSpjY) | +| Learning a Sparse Transformer Network for Effective Image Deraining
![CVPR - Highlight](https://img.shields.io/badge/CVPR-Highlight-FFFF00) | [![GitHub](https://img.shields.io/github/stars/cschenxiang/DRSformer?style=flat)](https://github.com/cschenxiang/DRSformer) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Chen_Learning_a_Sparse_Transformer_Network_for_Effective_Image_Deraining_CVPR_2023_paper.pdf)
[![arXiv](https://img.shields.io/badge/arXiv-2303.11950-b31b1b.svg)](http://arxiv.org/abs/2303.11950)| :heavy_minus_sign: | +| Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring | [![GitHub](https://img.shields.io/github/stars/xuboming8/DSTNet?style=flat)](https://github.com/xuboming8/DSTNet) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Pan_Deep_Discriminative_Spatial_and_Temporal_Network_for_Efficient_Video_Deblurring_CVPR_2023_paper.pdf) | :heavy_minus_sign: | +| Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions | [![GitHub](https://img.shields.io/github/stars/zhuyr97/WGWS-Net?style=flat)](https://github.com/zhuyr97/WGWS-Net) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Zhu_Learning_Weather-General_and_Weather-Specific_Features_for_Image_Restoration_Under_Multiple_CVPR_2023_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=5DR6hnNFzz0) | +| AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation | [![GitHub](https://img.shields.io/github/stars/MCG-NKU/AMT?style=flat)](https://github.com/MCG-NKU/AMT) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Li_AMT_All-Pairs_Multi-Field_Transforms_for_Efficient_Frame_Interpolation_CVPR_2023_paper.pdf)
[![arXiv](https://img.shields.io/badge/arXiv-2304.09790-b31b1b.svg)](http://arxiv.org/abs/2304.09790) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=D6Q5oLGet24) | +| Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring | [![GitHub](https://img.shields.io/github/stars/Fangzhenxuan/UFPDeblur?style=flat)](https://github.com/Fangzhenxuan/UFPDeblur) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Fang_Self-Supervised_Non-Uniform_Kernel_Estimation_With_Flow-Based_Motion_Prior_for_Blind_CVPR_2023_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=MRR4SwX1ElA) | | OSRT: Omnidirectional Image Super-Resolution with Distortion-Aware Transformer | | | | | Toward Accurate Post-Training Quantization for Image Super Resolution | | | | | Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances | | | |