3D-face

1. Learning an Animatable Detailed 3D Face Model from In-The-Wild Images. (SIGGRAPH2021)
   paper:https://arxiv.org/pdf/2012.04012.pdf
   talk:https://www.youtube.com/watch?v=osaATR4Q3bo
   github: https://github.com/YadiraF/DECA
2. Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network. (ECCV2018) proposed the UV map paper:https://openaccess.thecvf.com/content_ECCV_2018/papers/Yao_Feng_Joint_3D_Face_ECCV_2018_paper.pdf
3. A morphable model for the synthesis of 3d faces （3DMM）
   paper：https://dl.acm.org/doi/pdf/10.1145/311535.311556
4. Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection (CVPR21)
   paper:https://arxiv.org/pdf/2106.07852.pdf
   github: https://github.com/TencentYoutuResearch/3DFaceReconstruction-LAP
5. Inverting Generative Adversarial Renderer for Face Reconstruction （CVPR21）
   paper：https://arxiv.org/pdf/2105.02431.pdf
   github: https://github.com/WestlyPark/StyleRenderer
6. Riggable 3D Face Reconstruction via In-Network Optimization （CVPR21）
   paepr：https://arxiv.org/abs/2104.03493
7. 3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction （CVPR21）
   paper：https://arxiv.org/pdf/2103.08204.pdf
   github: https://github.com/qiuyuda/3DCaricShop
8. Learning a model of facial shape and expression from 4D scans （FLAME 2017）
   paper：https://dl.acm.org/doi/pdf/10.1145/3130800.3130813
9. Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
   paper:https://openaccess.thecvf.com/content_CVPRW_2019/papers/AMFG/Deng_Accurate_3D_Face_Reconstruction_With_Weakly-Supervised_Learning_From_Single_Image_CVPRW_2019_paper.pdf
   github:https://github.com/sicxu/Deep3DFaceRecon_pytorch
10. Face Alignment Across Large Poses: A 3D Solution （3DDFA,NCC,PNCC,2017）
    paper: https://arxiv.org/pdf/1511.07212.pdf
    11.To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision
    paper: file:///C:/Users/s00645594/Desktop/2106.09614.pdf
    github:https://github.com/unibas-gravis/Occlusion-Robust-MoFA
    12.Deep Portrait Lighting Enhancement with 3D Guidance paper: https://arxiv.org/pdf/2108.02121.pdf 13.Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry paper: https://openaccess.thecvf.com/content/CVPR2022/papers/Bae_Multi-View_Depth_Estimation_by_Fusing_Single-View_Depth_Probability_With_Multi-View_CVPR_2022_paper.pdf
11. REALY: Rethinking the Evaluation of 3D Face Reconstruction
    paper： https://arxiv.org/pdf/2203.09729.pdf
12. Face2Face：Real-Time High-Resolution one-shot face reenactment paper: https://github.com/NetEase-GameAI/Face2FaceRHO/blob/master/paper.pdf
13. Learning to Restore 3D Face from In-the-Wild Degraded Images paepr：https://openaccess.thecvf.com/content/CVPR2022/papers/Zhang_Learning_To_Restore_3D_Face_From_In-the-Wild_Degraded_Images_CVPR_2022_paper.pdf

dataset

1. CelebA:http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
2. LFW:http://vis-www.cs.umass.edu/lfw/
3. 300W-LP:http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm
4. IJB-A:https://www.nist.gov/programs-projects/face-challenges
5. LS3D-W:https://www.adrianbulat.com/face-alignment
6. FFHQ:https://github.com/NVlabs/ffhq-dataset
7. Florence：http://www.micc.unifi.it/resources/datasets/florence-3d-faces/
8. BU-3DFE dataset：http://www.sciweavers.org/subject/bu-3dfe-database
9. LS3D-W：https://www.adrianbulat.com/face-alignment
10. AFW database：http://www.ics.uci.edu/~xzhu/face/
11. UMDFaces dataset：http://umdfaces.io/
12. FaceWarehouse：http://kunzhou.net/zjugaps/facewarehouse/
13. RFW :http://whdeng.cn/RFW/index.html

3D-demo

Introduction:https://cloud.tencent.com/developer/article/1006396 https://www.youtube.com/watch?v=12vTI18m4_Y

3D-hand

a

1. MEgATrack: Monochrome Egocentric Articulated Hand-Tracking for Virtual Reality. (SIGGRAPH2020)

AFLW2000-3D
NoW Benchmark
Stirling-HQ (FG2018 3D face reconstruction challenge)