zc-alexfan/arctic
ARCTIC is a dataset and benchmark for training neural networks to reconstruct 3D hand poses and hand-object interactions from multi-view RGB/D/mocap data.
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This repository provides the official ARCTIC dataset for dexterous bimanual hand-object manipulation, along with preprocessing pipelines, visualization tools, and baseline model implementations in PyTorch. The dataset includes RGB images, depth maps, segmentation masks, and motion capture data. Researchers can use this to train hand tracking, pose estimation, and 3D reconstruction models.
Frequently asked
- What is zc-alexfan/arctic?
- ARCTIC is a dataset and benchmark for training neural networks to reconstruct 3D hand poses and hand-object interactions from multi-view RGB/D/mocap data.
- Is arctic open source?
- Yes — zc-alexfan/arctic is an open-source project tracked on heatdrop.
- What language is arctic written in?
- zc-alexfan/arctic is primarily written in Python.
- How popular is arctic?
- zc-alexfan/arctic has 488 stars on GitHub.
- Where can I find arctic?
- zc-alexfan/arctic is on GitHub at https://github.com/zc-alexfan/arctic.