ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image
ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Recent advancements in text-to-image generation have enabled significant progress in zero-shot 3D shape generation. This is achieved by score distillation, a methodology that uses pre-trained text-to-image diffusion models to optimize the parameters of a 3D neural presentation, e.g. Neural Radiance Field (NeRF). While showing promising results, exi...
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ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image
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TN_cdi_proquest_journals_2820201875
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2820201875
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E-ISSN
2331-8422
