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"citation": {
"title": "HanDrawer: Leveraging Spatial Information to Render Realistic Hands Using a Conditional Diffusion Model in Single Stage",
"arxiv_id": "2503.02127",
"doi": "10.48550/arXiv.2503.02127",
"url": "https://arxiv.org/abs/2503.02127"
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"name": "DexYCB",
"status_in_current_release": "included via the DexYCB-derived MANUS test split",
"bibtex_key": "chao2021dexycb",
"citation": {
"title": "DexYCB: A benchmark for capturing hand grasping of objects",
"authors": "Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj S. Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, and others",
"venue": "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition",
"pages": "9044--9053",
"year": 2021
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