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[CVPR 2024] Official code for EgoGen: An Egocentric Synthetic Data Generator

A curated list of foundation models for vision and language tasks

PyTorch code for EgoHMR (ICCV 2023): Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views

[ICLR 2024 Spotlight ✨] ResFields: Residual Neural Fields for Spatiotemporal Signals

Implementation of the Chamfer Distance as a module for pyTorch

Towards Robust 3D Body Mesh Inference of Partially-observed Humans: semester project at ETH Zurich

Repository for "Probabilistic Modeling for Human Mesh Recovery"

A collection of resources and papers on Diffusion Models

TensorDict is a pytorch dedicated tensor container.

The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"

Repository for the paper "Human Mesh Recovery from Multiple Shots"

Official code and data for EgoBody dataset (2022 ECCV)

KeypointNeRF Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints

Official Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data

[CVPR'22] COAP: Learning Compositional Occupancy of People

😎Awesome list of papers about 3D body

Official implementation of ETH-XGaze dataset baseline

[ECCV 2022] SAGA: Stochastic Whole-Body Grasping with Contact

code for cvpr2020 "4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras"

A multi-view SMPL fitting based on smplify-x

Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"

Make human motion capture easier.

The official pytorch code for paper "Facial Emotion Recognition with Noisy Multi-task Annotations" (2021 WACV)

gradslam is an open source differentiable dense SLAM library for PyTorch

Official Pytorch implementation for 2020 3DV paper "PLACE: Proximity Learning of Articulation and Contact in 3D Environments" and trained models