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
[BMVC 2018] iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection
[ICCV 2023] Official PyTorch implementation of the paper "InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion"
Code for Transferable Interactiveness Knowledge for Human-Object Interaction Detection. (CVPR'19, TPAMI'21)
HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)
Pytorch Implementation of "Object level Visual Reasoning in Videos", F. Baradel, N. Neverova, C. Wolf, J. Mille, G. Mori , ECCV 2018
[CVPR'22] Official PyTorch implementation for paper "Efficient Two-Stage Detection of Human–Object Interactions with a Novel Unary–Pairwise Transformer"
Code to access BEHAVE dataset, CVPR'22
Repo for CVPR2021 paper "QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information"
[ICCV 2023] RLIPv2: Fast Scaling of Relational Language-Image Pre-training
VSGNet:Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions.
As a part of HAKE project (HAKE-3D). Code for our CVPR2020 paper "Detailed 2D-3D Joint Representation for Human-Object Interaction".
Official implementation for the paper CHORE, ECCV'22
[CVPR 2024] This repo is official PyTorch implementation of Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer.
[ECCV 2022] SAGA: Stochastic Whole-Body Grasping with Contact
[ICCV'23] Official PyTorch implementation for paper "Exploring Predicate Visual Context in Detecting Human-Object Interactions"
Official implementation for the CVPR'23 paper: Visibility Aware Human-Object Interaction Tracking from Single RGB Camera
[ECCV 2020] DRG: Dual Relation Graph for Human-Object Interaction Detection
Learning Human-Object Interaction Detection using Interaction Points, CVPR 2020
[ICCV'21] Official PyTorch implementation for paper "Spatially Conditioned Graphs for Detecting Human–Object Interactions"
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