3D人脸重建开源项目整理
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
- 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
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
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
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
二、多视图三维人脸重建
1、MVF-Net: Multi-View 3D Face Morphable Model Regression
https://github.com/yuefurong97/mvfnet
2.Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
https://github.com/yuefurong97/Deep3DFaceReconstruction
三、 相关基础知识学习：
https://github.com/yuefurong97/work-in-horizon
3D人脸学习：
https://github.com/yuefurong97/face3d