April 10, 2024, 4:43 a.m. | Thomas W. Mitchel, Carlos Esteves, Ameesh Makadia

cs.LG updates on arXiv.org arxiv.org

arXiv:2312.09250v2 Announce Type: replace-cross
Abstract: We introduce a framework for intrinsic latent diffusion models operating directly on the surfaces of 3D shapes, with the goal of synthesizing high-quality textures. Our approach is underpinned by two contributions: field latents, a latent representation encoding textures as discrete vector fields on the mesh vertices, and field latent diffusion models, which learn to denoise a diffusion process in the learned latent space on the surface. We consider a single-textured-mesh paradigm, where our models are …

abstract arxiv cs.cv cs.gr cs.lg diffusion diffusion models encoding fields framework intrinsic latent diffusion models mesh quality representation texture type vector

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