[CVPR 2023] Official repository for downloading, processing, visualizing, and training models on the ARCTIC dataset.
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Updated
Mar 4, 2026 - Python
[CVPR 2023] Official repository for downloading, processing, visualizing, and training models on the ARCTIC dataset.
[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D hand-object training data.
Large dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.
GRAB: A Dataset of Whole-Body Human Grasping of Objects
GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)
This is a repository for GraspXL, which can generate objective-drive grasping motions for 500k+ objects with different dexterous hands.
[CVPR 2022] OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction
[CVPR 2022 Oral] ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
[CVPR2025] EasyHOI: Unleashing the Power of Large Models for Reconstructing Hand-Object Interactions in the Wild
AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Pose (ICCV 2023)
[CVPR 2024] HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
ContactGen: Generative Contact Modeling for Grasp Generation (ICCV 2023)
[ECCV 2022] SAGA: Stochastic Whole-Body Grasping with Contact
[3DV 2026] Official implementation of FollowMyHold
[NeurIPS 2025] This repo is official PyTorch implementation of the paper "Learning Dense Hand Contact Estimation from Imbalanced Data".
[NeurIPS 25'] A Python package that provides evaluation and visualization tools for the HO-Cap dataset
Code for the paper "AMEGO: Active Memory from long EGOcentric videos" published at ECCV 2024
[WACV 2023] Interacting Hand-Object Pose Estimation via Dense Mutual Attention
This is the implementation of CVPR 2025 paper "BimArt: A Unified Approach for the Synthesis of 3D Bimanual Interaction with Articulated Objects". The authors include: Wanyue Zhang, Rishabh Dabral, Vladislav Golyanik, Vasileios Choutas, Eduardo Alvarado, Thabo Beeler, Marc Habermann, Christian Theobalt
[NeurIPS 2022 Spotlight] Hand-Object Interaction Image Generation
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