一、单一视图三维人脸重建
1.End-to-end 3D face reconstruction with deep neural networks
源码：https://github.com/yuefurong97/mxnet-E2FAR
2 Learning Detailed Face Reconstruction from a Single Image
源码：https://github.com/yuefurong97/3DFaceRecon
3.Face Alignment in Full Pose Range: A 3D Total Solution.
源码：https://github.com/yuefurong97/3DDFA
4.Learning-Robust-3D-Face-Reconstruction-and-Discriminative-Identity-Representation（2019.05.16 UESTC）
源码：https://github.com/yuefurong97/SCNN
5.Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
源码：https://github.com/yuefurong97/RingNet
6.Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set（代码只给出了单一视图人脸重建的部分）
源码：https://github.com/yuefurong97/Deep3DFaceReconstruction
7.Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
源码：https://github.com/YadiraF/PRNet
https://github.com/yuefurong97/training_codes_for_PRNet_3D_Face
https://github.com/yuefurong97/PRNet_training
https://github.com/liguohao96/pytorch-prnet
8.3D Face Reconstruction from a Single Image using Direct Volumetric CNN Regression
源码：https://github.com/yuefurong97/3D-face-reconstruction
9.MobileFace: 3D Face Reconstruction with Efficient CNN Regression
源码：https://github.com/yuefurong97/MobileFace
10.[Regressing Robust and Discriminative 3D Morphable Models With a Very Deep Neural Network]（2017 CVPR）(https://talhassner.github.io/home/publication/2017_CVPR)
源码：https://github.com/yuefurong97/3dmm_cnn
11.Extreme 3D Face Reconstruction: Seeing Through Occlusions（2018 CVPR）
源码：https://github.com/yuefurong97/extreme_3d_faces
12.SfSNet: Learning Shape, Reflectance and Illuminance of Faces ‘in the wild’（2018 CVPR spotlight）
源码：https://github.com/yuefurong97/SfSNet
13.Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression （2017 ICCV）
源码：https://github.com/yuefurong97/vrn
14.MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
源码：https://github.com/waxz/MoFA
15.3D Face Reconstruction with Geometry Details from a Single Image
源码：https://github.com/Juyong/SingleImageReconstruction
16.Disentangled Representation Learning for 3D Face Shape
源码：https://github.com/zihangJiang/DR-Learning-for-3D-Face
17.Unconstrained 3D Face Reconstruction（2015 CVPR）
源码：https://github.com/yuefurong97/CVPR2015-Unconstrained-3D-Face-Reconstruction
18.ExpNet: Landmark-Free, Deep, 3D Facial Expressions
源码：https://github.com/fengju514/Expression-Net
19.Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model（2018 ECCV）
源码：https://github.com/barisgecer/facegan
20.Unsupervised Training for 3D Morphable Model Regression（2018 CVPR）
源码：https://github.com/google/tf_mesh_renderer
21.Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning (2019)
源码：https://github.com/yuefurong97/2DASL
22.Rotate-and-Render: Unsupervised Photorealistic Face Rotationfrom Single-View Images（2020 CVPR）
源码：https://github.com/Hangz-nju-cuhk/Rotate-and-Render
23.DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction（2019 ICCV）
源码：https://github.com/xiaoxingzeng/DF2Net
24 Lightweight Photometric Stereo for Facial Details Recovery（2020 CVPR）
源码：https://github.com/Juyong/FacePSNet
25 AvatarMe: Realistically Renderable 3D Facial Reconstruction “in-the-wild”(2020 CVPR)
源码：https://github.com/lattas/AvatarMe（6月份开源代码）
26 Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images UsingGraph Convolutional Networks (2020 CVPR)
源码：https://github.com/FuxiCV/3D-Face-GCNs
27 Landmark Detection and 3D Face Reconstruction for Caricature using a Nonlinear Parametric Model(2020 CVPR 漫画三维人脸重建)
源码：https://github.com/Juyong/CaricatureFace（有训练代码）
28 Photo-Realistic Facial Details Synthesis from Single Image（2019 ICCV Oral）
附加材料：https://github.com/apchenstu/Facial_Details_Synthesis/blob/master/src/imgs/Supplemental_Material.pdf
源码：https://github.com/apchenstu/Facial_Details_Synthesis
29 Unsup3d (2020 CVPR Oral)
Github:https://github.com/elliottwu/unsup3d
30 GAN2Shape (2021 ICLR Oral)
Github:https://github.com/XingangPan/GAN2Shape
31 Lifting 2D StyleGAN for 3D-Aware Face Generation （2021 CVPR）
Github:暂无
<span style="background-color:#282c34"><span style="color:#abb2bf"> 持续更新......
</span></span>二、多视图三维人脸重建
1.MVF-Net: Multi-View 3D Face Morphable Model Regression
源码：https://github.com/yuefurong97/mvfnet
2.Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
源码：https://github.com/yuefurong97/Deep3DFaceReconstruction
三、 相关基础知识学习：
3DDFA：https://github.com/yuefurong97/work-in-horizon
3D人脸学习：https://github.com/yuefurong97/face3d
四、性能评估器
extreme_3d_faces_evaluator
对应的三维人脸重建项目：
https://github.com/dafuny/extreme_3d_faces
五、OTHERS
1 3ddfa-uv-gan（3DDFA与UV-GAN相结合）
应该是解决3DDFA遮挡情况下的纹理失真的问题
Related:
源码：3DDFA
论文：UV-GAN（2018 CVPR 补全纹理的，目前木有开源？）
2 tf_mesh_renderer （可微分网格渲染器，参看上面的第20篇文章）
3.realtime-2D-to-3D-faces（实时三维人脸重建项目）
4 Hyperparameter-Free Losses for Model-Based Monocular Reconstruction（2019 ICCVW 细节）
源码：https://github.com/hyperparams-free/hyperparams-free-3D-losses（无超参的损失函数进行单眼人脸重建）
Related：
论文：Multi-View 3D Face Reconstruction in the Wild Using Siamese Networks（2019 ICCVW竞赛论文）
5 3D_Face_Reconstrction（一个本科生的个人项目，还是很厉害的~）
6 tinyrenderer（星标8.6k！计算机图形学课程，不使用任何第三方库，展示OPENGL的工作原理，输入：多边形网格+具有纹理的图片 输出：渲染模型）
7 DeepFaceRestruction（PRNet的复现代码）
8 Texture-reconstruction（将纹理映射到三维网格的项目 好像缺失了一个.h文件）
9 Rasterizer （C++实现 具有深度缓冲，纹理映射，法线映射和blinn-phong着色的CPU转发/延迟光栅化器）
<该项目旨在了解渲染算法如何将构成3D世界的一组顶点转换为该世界的2D图像>