└── README.md


/README.md:
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 1 | # Awesome-Human-Relighting
 2 | 
 3 | Some recent works on face relighting and human relighting. If you find any errors or problems, please feel free to comment.
 4 | 
 5 | For more works related to Human Pose, please refer to [Human-Pose-DeepLearning-List](https://github.com/WinstonDeng/Human-Pose-DeepLearning-List) .
 6 | 
 7 | ## Method
 8 | 
 9 | 
10 | ### Portrait Relighting
11 | 
12 | - Single Image Portrait Relighting (SIGGRAPH 2019) [[Paper]](https://arxiv.org/abs/1905.00824)
13 | - Deep Single-Image Portrait Relighting (ICCV 2019) [[Website]](https://zhhoper.github.io/dpr.html) [[Paper]](https://zhhoper.github.io/paper/zhou_ICCV2019_DPR.pdf) [[Code]](https://github.com/zhhoper/DPR) [[Data]](https://drive.google.com/drive/folders/10luekF8vV5vo2GFYPRCe9Rm2Xy2DwHkT?usp=sharing) 
14 | - Deep Reflectance Fields - High-Quality Facial Reflectance Field Inference from Color Gradient Illumination (SIGGRAPH 2019) [[Website]](https://vcai.mpi-inf.mpg.de/projects/DeepReflectanceFields/) [[Paper]](https://vcai.mpi-inf.mpg.de/projects/DeepReflectanceFields/DRF.pdf)
15 | - Total Relighting: Learning to Relight Portraits for Background Replacement (SIGGRAPH 2021) [[Website]](https://augmentedperception.github.io/total_relighting/) [[Paper]](https://augmentedperception.github.io/total_relighting/total_relighting_paper.pdf) 
16 | - Neural Video Portrait Relighting in Real-time via Consistency Modeling (ICCV 2021) [[Website]](https://zhang-dragon.com/projects/nvpr/nvpr.html) [[Paper]](https://arxiv.org/abs/2104.00484) [[Data]](https://zhang-dragon.com/projects/nvpr/dataset.html) 
17 | - Face Relighting with Geometrically Consistent Shadows (CVPR 2022) [[Website]](https://andrewhou1.github.io/) [[Paper]](https://arxiv.org/abs/2203.16681) [[Code]](https://github.com/andrewhou1/GeomConsistentFR) 
18 | - De-rendering 3D Objects in the Wild (CVPR 2022)  [[Website]](https://www.robots.ox.ac.uk/~vgg/research/derender3d/) [[Paper]](https://arxiv.org/abs/2201.02279) [[Code]](https://github.com/Brummi/derender3d) [[Data]](https://www.robots.ox.ac.uk/~vgg/research/derender3d/data/COSy.tar) 
19 | - Practical Face Reconstruction via Differentiable Ray Tracing (CGF 2021) [[Paper]](https://arxiv.org/abs/2101.05356) [[Code]](https://github.com/abdallahdib/NextFace)
20 | - Towards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised Learning and Ray Tracing (ICCV 2021) [[Paper]](https://arxiv.org/abs/2103.15432)
21 | - S2F2: Self-Supervised High Fidelity Face Reconstruction from Monocular Image (arXiv 2022) [[Paper]](https://arxiv.org/abs/2203.07732)
22 | 
23 | ### Human Relighting
24 | 
25 | - Relighting4D: Neural Relightable Human from Videos (ECCV 2022) [[Website]](https://frozenburning.github.io/projects/relighting4d/) [[Paper]](https://arxiv.org/abs/2207.07104) [[Code]](https://github.com/FrozenBurning/Relighting4D) [[Data]](https://drive.google.com/drive/folders/10luekF8vV5vo2GFYPRCe9Rm2Xy2DwHkT?usp=sharing) 
26 | 
27 | ### Lighting Enhancement
28 | 
29 | - Deep Portrait Lighting Enhancement with 3D Guidance (CGF 2021) [[Website]](https://cassiepython.github.io/egsr/index.html) [[Paper]](https://arxiv.org/abs/2108.02121) [[Data]](https://cassiepython.github.io/egsr/web_show_train.html) 
30 | 
31 | ## Dataset/Benchmark
32 | 
33 | There are currently few publicly available face or human relighting datasets (especially the OLAT datasets). But there are some datasets that can be used after application.
34 | 
35 | 


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