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| "license": "Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)",
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| "source_image_note": "MANUS-DexYCB original-image sources are derived from DexYCB only.",
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| "citation": {
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| "title": "HanDrawer: Leveraging Spatial Information to Render Realistic Hands Using a Conditional Diffusion Model in Single Stage",
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| "arxiv_id": "2503.02127",
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| "doi": "10.48550/arXiv.2503.02127",
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| "url": "https://arxiv.org/abs/2503.02127"
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| },
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| {
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| "name": "DexYCB",
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| "status_in_current_release": "included via the DexYCB-derived MANUS test split",
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| "bibtex_key": "chao2021dexycb",
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| "citation": {
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| "title": "DexYCB: A benchmark for capturing hand grasping of objects",
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| "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",
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| "venue": "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition",
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| "pages": "9044--9053",
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| "year": 2021
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| }
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| }
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| ],
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| }
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|
|
