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An open API service indexing awesome lists of open source software.
awesome-3d-human
https://github.com/lijiaman/awesome-3d-human
- High-Quality Face Capture Using Anatomical Muscles
- Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
- MVF-Net: Multi-View 3D Face Morphable Model Regression
- Generating 3D Faces using Convolutional Mesh Autoencoders
- Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
- 3D Face Reconstruction from Light Field Images: A Model-free Approach
- Mesoscopic Facial Geometry Inference Using Deep Neural Networks
- Extreme 3D Face Reconstruction: Seeing Through Occlusions
- Sparse Photometric 3D Face Reconstruction Guided by Morphable Models
- Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition
- Probabilistic Joint Face-Skull Modelling for Facial Reconstruction
- Large Pose 3D Face Reconstruction From a Single Image via Direct Volumetric CNN Regression
- Learning Detailed Face Reconstruction From a Single Image - El, Ron Kimmel. CVPR 2017.
- End-To-End 3D Face Reconstruction With Deep Neural Networks
- Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace
- FML: Face Model Learning From Videos - Peter Seidel, Patrick Perez, Michael Zollhofer, Christian Theobalt. CVPR 2019.
- Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders
- Towards High-Fidelity Nonlinear 3D Face Morphable Model
- GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
- PAGAN: Real-time Avatars Using Dynamic Textures
- High-fidelity Facial Reflectance And Geometry Inference From An Unconstrained Image
- Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz
- InverseFaceNet: Deep Monocular Inverse Face Rendering
- Nonlinear 3D Face Morphable Model
- SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild
- MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
- 3D Face Morphable Models "In-The-Wild"
- Fast 3D Reconstruction of Faces With Glasses
- Capture, Learning, and Synthesis of 3D Speaking Styles
- Dense Semantic and Topological Correspondence of 3D Faces without Landmarks
- Learning From Millions of 3D Scans for Large-Scale 3D Face Recognition
- HoloPose: Holistic 3D Human Reconstruction In-The-Wild
- Detailed Human Shape Estimation From a Single Image by Hierarchical Mesh Deformation
- Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
- Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation - Moll, Peter V. Gehler, Bernt Schiele. 3DV 2018.
- End-to-End Recovery of Human Shape and Pose
- Learning to Estimate 3D Human Pose and Shape From a Single Color Image
- Detailed, Accurate, Human Shape Estimation From Clothed 3D Scan Sequences - Moll. CVPR 2017.
- Human Shape From Silhouettes Using Generative HKS Descriptors and Cross-Modal Neural Networks
- Unite the People: Closing the Loop Between 3D and 2D Human Representations
- Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
- SMPL: A Skinned Multi-Person Linear Model - Moll, Michael J. Black. 2015.
- The Stitched Puppet: A Graphical Model of 3D Human Shape and Pose
- PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
- SiCloPe: Silhouette-Based Clothed People
- Learning to Reconstruct People in Clothing From a Single RGB Camera - Moll. CVPR 2019.
- Expressive Body Capture: 3D Hands, Face, and Body From a Single Image
- Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning - Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Fanello. CVPR 2019.
- SimulCap : Single-View Human Performance Capture With Cloth Simulation - Moll, Yebin Liu. CVPR 2019.
- Monocular Total Capture: Posing Face, Body, and Hands in the Wild
- HybridFusion: Real-Time Performance Capture Using a Single Depth Sensor and Sparse IMUs
- DoubleFusion: Real-Time Capture of Human Performances With Inner Body Shapes From a Single Depth Sensor - Moll, Yebin Liu. CVPR 2018.
- Deep Volumetric Video From Very Sparse Multi-View Performance Capture
- Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies
- BodyFusion: Real-Time Capture of Human Motion and Surface Geometry Using a Single Depth Camera
- 4D Human Body Correspondences From Panoramic Depth Maps
- Dynamic FAUST: Registering Human Bodies in Motion - Moll, Michael J. Black. CVPR 2017.
- FAUST: Dataset and evaluation for 3D mesh registration
- 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training
- RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
- Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network
- Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation - Yee Lin, Wentao Liu, Chen Qian, Liang Lin. CVPR 2019.
- Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry
- Exploiting Temporal Context for 3D Human Pose Estimation in the Wild
- Semantic Graph Convolutional Networks for 3D Human Pose Regression
- 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training
- 3D Human Pose Estimation in the Wild by Adversarial Learning
- Ordinal Depth Supervision for 3D Human Pose Estimation
- Learning Monocular 3D Human Pose Estimation From Multi-View Images
- Coarse-To-Fine Volumetric Prediction for Single-Image 3D Human Pose
- 3D Human Pose Estimation = 2D Pose Estimation + Matching - Hang Chen, Deva Ramanan. CVPR 2017.
- Learning Joint Reconstruction of Hands and Manipulated Objects
- 3D Hand Shape and Pose Estimation From a Single RGB Image
- 3D Hand Shape and Pose From Images in the Wild
- Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering - Kyun Kim. CVPR 2019.
- Self-Supervised 3D Hand Pose Estimation Through Training by Fitting
- V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation From a Single Depth Map
- Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals - Hernando, Björn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis Argyros, Tae-Kyun Kim. CVPR 2018.
- Dense 3D Regression for Hand Pose Estimation
- Hand PointNet: 3D Hand Pose Estimation Using Point Sets
- Point-to-Point Regression PointNet for 3D Hand Pose Estimation
- Weakly-supervised 3D Hand Pose Estimation from Monocular RGB Images
- 3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation From Single Depth Images
- Towards Natural and Accurate Future Motion Prediction of Humans and Animals
- A Neural Temporal Model for Human Motion Prediction
- Learning 3D Human Dynamics From Video
- On the Continuity of Rotation Representations in Neural Networks
- Convolutional Sequence to Sequence Model for Human Dynamics
- Auto-conditioned LSTM Network For Extended Complex Human Motion Synthesis
- Forecasting Human Dynamics From Static Images - Wei Chao, Jimei Yang, Brian Price, Scott Cohen, Jia Deng. CVPR 2017.
- On Human Motion Prediction Using Recurrent Neural Networks
- Deep Representation Learning for Human Motion Prediction and Classification
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