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Face-3D-Study 论文代码

有关3D人脸重建的论文和代码,做个记录,以便与学习,和后来者阅读;黑桃符号(♠):表示 我已读过。

2020 论文代码

2020 CVPR

  • FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction [] (百度)
  • Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks
  • ReDA:Reinforced Differentiable Attribute for 3D Face Reconstruction
  • AvatarMe: Realistically Renderable 3D Facial Reconstruction "In-the-Wild"
  • Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction
  • Deep Facial Non-Rigid Multi-View Stereo

2019 论文代码

  • Face Reconstruction from Voice using Generative dversarial Networks [paper]
  • 3D Dense Face Alignment via Graph Convolution Networks [paper] (♠)
  • 2DASL: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning [paper]. [code] (♠)
  • On learning 3d face morphable model from in-the-wild images [paper] (TPAMI)

2019 CVPR

  • GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction [paper]. [code]
  • Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision [paper]
  • Dense 3D Face Decoding over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders [paper]
  • MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction[paper].
  • Towards High-Fidelity Nonlinear 3D Face Morphable Model [paper]. [code].[project]
  • MVF-Net: Multi-View 3D Face Morphable Model Regression [paper]. [code] (♠)(多视图重建)
  • RingNet: Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision [paper].[code]. [project]
  • Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking [paper]. (♠)
  • Speech2Face: Learning the Face Behind a Voice [paper]

ICCV

  • 3D Face Shape Regression From 2D Videos with Multi-reconstruction and Mesh Retrieval [paper] (3DFAW比赛论文)
  • The 2 nd 3D Face Alignment in the Wild Challenge (3DFAW-Video): Dense Reconstruction From Video[paper] (3DFAW比赛论文, 从Video重建3D人脸 研究趋势)
  • DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction [paper]

2018 论文代码

  • State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications [paper] (人脸重建综述)
  • Deep Appearance Models for Face Rendering [paper]
  • Multilinear Autoencoder for 3D Face Model Learning [paper]

2018 CVPR

  • Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition [paper] (♠)
  • Unsupervised Training for 3D Morphable Model Regression [paper]
  • Self-supervised Multi-level Face Model Learning for Monocular Reconstruction at over 250 Hz [paper]
  • Nonlinear 3D Face Morphable Model [paper]

2018 ECCV

  • Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network [paper]. [code] (PRNet) (♠)
  • Generating 3D faces using Convolutional Mesh Autoencoders [paper]
  • Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition [paper]

2017 论文代码

2017 CVPR

  • DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild [paper]
  • Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network [paper]. [code]. [project] (3dmm_cnn) (♠)
  • Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression [paper] [code] (VRN)
  • Reconstruction-Based Disentanglement for Pose-invariant Face Recognition [paper]
  • End-to-end 3D face reconstruction with deep neural networks [paper] (♠)
  • Learning Detailed Face Reconstruction from a Single Image [paper]
  • Photorealistic Facial Texture Inference Using Deep Neural Networks [paper] (纹理方面)

2017 ICCV

  • Dense Face Alignment [paper]
  • How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks) [paper]
  • Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation [paper]
  • MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction [paper]

2016 论文代码

  • 3D Face Reconstruction by Learning from Synthetic Data [paper]

2016 CVPR

  • Face Alignment Across Large Poses: A 3D Solution [paper]. [code] (♠)
  • Face Alignment in Full Pose Range: A 3D Total Solution [paper]. [code]. [project] [不是CVPR 是TPAMI / PAMI] [3DDFA]

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