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Mosaic-SDF for 3D Generative Models
April 25, 2024, 7:46 p.m. | Lior Yariv, Omri Puny, Natalia Neverova, Oran Gafni, Yaron Lipman
cs.CV updates on arXiv.org arxiv.org
Abstract: Current diffusion or flow-based generative models for 3D shapes divide to two: distilling pre-trained 2D image diffusion models, and training directly on 3D shapes. When training a diffusion or flow models on 3D shapes a crucial design choice is the shape representation. An effective shape representation needs to adhere three design principles: it should allow an efficient conversion of large 3D datasets to the representation form; it should provide a good tradeoff of approximation power …
2d image abstract arxiv cs.cv cs.gr current design diffusion diffusion models flow generative generative models image image diffusion mosaic representation training type
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