GRAB: A Dataset of Whole-Body Human Grasping of Objects
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Updated
Mar 8, 2022 - Python
GRAB: A Dataset of Whole-Body Human Grasping of Objects
Code for experiments of the paper "A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar?" (DistShift workshop, NeurIPS 2022).
[NeurIPS 2022 Spotlight] Hand-Object Interaction Image Generation
[WACV 2023] Interacting Hand-Object Pose Estimation via Dense Mutual Attention
[ECCV 2022] SAGA: Stochastic Whole-Body Grasping with Contact
Simple 3D rendering of hand-object interactions for the ARCTIC dataset
ContactGen: Generative Contact Modeling for Grasp Generation (ICCV 2023)
SHOWMe: Benchmarking Object-agnostic Hand-Object 3D Reconstruction (Dataset, Contains proposed top baseline reconstructions with estimated camera poses)
AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Pose (ICCV 2023)
GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)
Grasp Generation models on OakInk-Shape dataset
Code implementation for paper titled "HOI-Ref: Hand-Object Interaction Referral in Egocentric Vision"
[CVPR 2022 Oral] ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
[CVPR 2024] HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
Code for the paper "AMEGO: Active Memory from long EGOcentric videos" published at ECCV 2024
A Python package that provides evaluation and visualization tools for the HOCap dataset
[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.
[CVPR 2022] OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction
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