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update low-level-vision.md
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abikaki committed Feb 20, 2024
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| LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising | [![GitHub](https://img.shields.io/github/stars/Wang-XIaoDingdd/LGBPN?style=flat)](https://github.com/Wang-XIaoDingdd/LGBPN) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_LG-BPN_Local_and_Global_Blind-Patch_Network_for_Self-Supervised_Real-World_Denoising_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.00534-b31b1b.svg)](https://arxiv.org/abs/2304.00534) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=OlNepkCZ_G4) |
| Adaptive Spot-Guided Transformer for Consistent Local Feature Matching | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://astr2023.github.io/) <br /> [![GitHub](https://img.shields.io/github/stars/ASTR2023/ASTR?style=flat)](https://github.com/ASTR2023/ASTR) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Yu_Adaptive_Spot-Guided_Transformer_for_Consistent_Local_Feature_Matching_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.16624-b31b1b.svg)](http://arxiv.org/abs/2303.16624) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=q10xY8AOVho) |
| SFD2: Semantic-Guided Feature Detection and Description | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://feixue94.github.io/) <br /> [![GitHub](https://img.shields.io/github/stars/feixue94/sfd2?style=flat)](https://github.com/feixue94/sfd2) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Xue_SFD2_Semantic-Guided_Feature_Detection_and_Description_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.14845-b31b1b.svg)](http://arxiv.org/abs/2304.14845) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=WzVXG5pyrgo) |
| Burstormer: Burst Image Restoration and Enhancement Transformer | | | |
| DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients | | | |
| Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement | | | |
| Structured Sparsity Learning for Efficient Video Super-Resolution | | | |
| DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos | | | |
| Exploring Discontinuity for Video Frame Interpolation | | | |
| Burstormer: Burst Image Restoration and Enhancement Transformer | [![GitHub](https://img.shields.io/github/stars/akshaydudhane16/Burstormer?style=flat)](https://github.com/akshaydudhane16/Burstormer) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Dudhane_Burstormer_Burst_Image_Restoration_and_Enhancement_Transformer_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.01194-b31b1b.svg)](http://arxiv.org/abs/2304.01194) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=3goqbKsqfcw) |
| DeepLSD: Line Segment Detection and Refinement With Deep Image Gradients | [![GitHub](https://img.shields.io/github/stars/cvg/DeepLSD?style=flat)](https://github.com/cvg/DeepLSD) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Pautrat_DeepLSD_Line_Segment_Detection_and_Refinement_With_Deep_Image_Gradients_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2212.07766-b31b1b.svg)](http://arxiv.org/abs/2212.07766) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=jHcfCzuoqp8) |
| Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement | [![GitHub](https://img.shields.io/github/stars/nanmehta/GMTNet?style=flat)](https://github.com/nanmehta/GMTNet) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Mehta_Gated_Multi-Resolution_Transfer_Network_for_Burst_Restoration_and_Enhancement_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.06703-b31b1b.svg)](http://arxiv.org/abs/2304.06703) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=Xe2HeGGYrc4) |
| Structured Sparsity Learning for Efficient Video Super-Resolution | [![GitHub](https://img.shields.io/github/stars/Zj-BinXia/SSL?style=flat)](https://github.com/Zj-BinXia/SSL) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Xia_Structured_Sparsity_Learning_for_Efficient_Video_Super-Resolution_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2206.07687-b31b1b.svg)](http://arxiv.org/abs/2206.07687) | :heavy_minus_sign: |
| DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://haochen-rye.github.io/HNeRV/) <br /> [![GitHub](https://img.shields.io/github/stars/haochen-rye/HNeRV?style=flat)](https://github.com/haochen-rye/HNeRV) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Zhao_DNeRV_Modeling_Inherent_Dynamics_via_Difference_Neural_Representation_for_Videos_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.06544-b31b1b.svg)](http://arxiv.org/abs/2304.06544) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=v7_fqRxiKEI) |
| Exploring Discontinuity for Video Frame Interpolation <br/> [![CVPR - Highlight](https://img.shields.io/badge/CVPR-Highlight-FFFF00)]() | [![GitHub](https://img.shields.io/github/stars/pandatimo/Exploring-Discontinuity-for-VFI?style=flat)](https://github.com/pandatimo/Exploring-Discontinuity-for-VFI) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Lee_Exploring_Discontinuity_for_Video_Frame_Interpolation_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2202.07291-b31b1b.svg)](http://arxiv.org/abs/2202.07291) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=uaKJtD-2KZc) |
| Neural Video Compression with Diverse Contexts | | | |
| FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation | | | |
| OPE-SR: Orthogonal Position Encoding for Designing a Parameter-Free Upsampling Module in Arbitrary-Scale Image Super-Resolution | | | |
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