Datasets › GRAB

GRAB

Introduced by Omid Taheri et al. in GRAB: A Dataset of Whole-Body Human Grasping of Objects archive 2025-07-28

GRAB is a dataset of full-body motions interacting and grasping 3D objects. It contains accurate finger and facial motions as well as the contact between the objects and body. It contains 5 male and 5 female participants and 4 different motion intents. The GRAB dataset also contains binary contact maps between the body and objects.

Source: https://github.com/otaheri/GRAB Image Source: https://github.com/otaheri/GRAB

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Controllable Grasp Generation GRAB ClickDiff Average MPJPE (mm) 40.57 ClickDiff: Click to Induce Semantic Contact Map for... — 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 72. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
ClickDiff: Click to Induce Semantic Contact Map for Controllable Grasp Generation with Diffusion Models 0 1 28 Jul 2024 not harvested

Dataset loaders archive 2025-07-28

otaheri/GRABpytorch

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • GRAB

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections