Researchers have introduced Human4K, a new large-scale dataset designed to improve 3D human reconstruction. This dataset features over six million 4K images captured from an eight-view camera system, synchronized with professional motion capture data. Human4K aims to address limitations in existing datasets by providing high-resolution images and precise annotations for complex, whole-body motions, including challenging scenarios like depth ambiguity and self-occlusion. Training models with Human4K has shown significant improvements in reconstructing human geometry, particularly for extremities like hands and feet. AI
IMPACT This dataset could significantly improve the accuracy and robustness of AI models used for 3D human reconstruction, particularly in challenging real-world scenarios.
RANK_REASON The cluster describes a new academic dataset and paper published on arXiv.
- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- Gotit.pub
- Hugging Face
- Human4K
- Influence Flower
- Motion-Retargeting and Refinement Module
- ScienceCast
- SMPL-X
- Vicon
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