图像增强

1. Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training

https://arxiv.org/abs/2004.01178

GitHub - ShuhangGu/DASR: Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"

2. Learning Multi-Scale Photo Exposure Correction

https://arxiv.org/abs/2003.11596

https://github.com/mahmoudnafifi/Exposure_Correction

3. Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement

https://arxiv.org/abs/2012.05609

GitHub - KarelZhang/RUAS: [CVPR 2021] This is the official code for the paper "Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement"

4. Nighttime Visibility Enhancement by Increasing the Dynamic Range and Suppression of Light Effects

CVPR 2021 Open Access Repository

5. Rank-One Prior: Toward Real-Time Scene Recovery

https://arxiv.org/abs/2103.17126

6. HLA-Face: Joint High-Low Adaptation for Low Light Face Detection

CVPR 2021 Open Access Repository

7. PPR10K: A Large-Scale Portrait Photo Retouching Dataset With Human-Region Mask and Group-Level Consistency

https://arxiv.org/abs/2105.09180

https://github.com/csjliang/PPR10K

8.Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments

https://arxiv.org/abs/2012.05116

9. Restoring Extremely Dark Images in Real Time

CVPR 2021 Open Access Repository

10. Exploring Sparsity in Image Super-Resolution for Efficient Inference

https://arxiv.org/abs/2006.09603

GitHub - LongguangWang/SMSR: [CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference