Stars
This is the code repository for the paper: Hand-Object Interaction Controller (HOIC): Deep Reinforcement Learning for Reconstructing Interactions with Physics
implementation of paper: Egocentric Whole-Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement
Official JAX Implementation of Monocular Dynamic View Synthesis: A Reality Check (NeurIPS 2022)
shreyashampali / ho3d
Forked from lmb-freiburg/freihandA dataset for pose estimation of hand when interacting with object and severe occlusions.
[cvpr 20] Demo, training and evaluation code for joint hand-object pose estimation in sparsely annotated videos
Large dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.
A Blender add-on to import models from google maps
Command & Conquer: Remastered Collection
A Simulation Environment to train Robots in Large Realistic Interactive Scenes
🎮 A step-by-step guide to implementing SSAO, depth of field, lighting, normal mapping, and more for your 3D game.
Node based visual scripting system designed for motion graphics in Blender.
This project reimplements from scratch the OpenPose paper (Cao et al,2018), Using Tensorflow 2.1 and optional TPU powered training.
pytorch implementation of openpose including Hand and Body Pose Estimation.
Object detection, 3D detection, and pose estimation using center point detection:
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Training and Evaluation Code for Neural Volumes
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Training repository for OpenPose
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
A large-scale benchmark and learning environment.
Optimal Motion Generation-tools: motion planning made easy
Ongoing research training transformer models at scale
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
Convolutional Mesh Autoencoders for Generating 3D Faces
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Repository for the paper "Convolutional Mesh Regression for Single-Image Human Shape Reconstruction"
Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"
Learning Continuous Signed Distance Functions for Shape Representation