Datasets › ContactArt

ContactArt

Introduced by Zehao Zhu et al. in ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation2 May 2023 archive 2025-07-28

ContactArt is a dataset for learning hand-object interaction priors for hand and articulated object pose estimation. The dataset is created using visual teleoperation, where the human operator can directly play within a physical simulator to manipulate the articulated objects. All the object models are from Partnet dataset for the convenience of scaling up. ContactArt can provide accurate annotation, rich hand-object interaction, and contact information.

Source: ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation

Image Source: ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

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

  • ContactArt

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