Texture Generation on 3D Meshes with Point-UV Diffusion

• URL: http://arxiv.org/abs/2308.10490v1
• Date: Mon, 21 Aug 2023 06:20:54 GMT
• Title: Texture Generation on 3D Meshes with Point-UV Diffusion
• Authors: Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu, Xiaojuan Qi
• Abstract summary: We present Point-UV diffusion, a coarse-to-fine pipeline that marries the denoising diffusion model with UV mapping to generate high-quality texture images in UV space. Our method can process meshes of any genus, generating diversified, geometry-compatible, and high-fidelity textures.
• Score: 86.69672057856243
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In this work, we focus on synthesizing high-quality textures on 3D meshes. We present Point-UV diffusion, a coarse-to-fine pipeline that marries the denoising diffusion model with UV mapping to generate 3D consistent and high-quality texture images in UV space. We start with introducing a point diffusion model to synthesize low-frequency texture components with our tailored style guidance to tackle the biased color distribution. The derived coarse texture offers global consistency and serves as a condition for the subsequent UV diffusion stage, aiding in regularizing the model to generate a 3D consistent UV texture image. Then, a UV diffusion model with hybrid conditions is developed to enhance the texture fidelity in the 2D UV space. Our method can process meshes of any genus, generating diversified, geometry-compatible, and high-fidelity textures. Code is available at https://cvmi-lab.github.io/Point-UV-Diffusion

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