Texture Generation on 3D Meshes with Point-UV Diffusion
Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu, Xiaojuan Qi
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.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext e2d1ed05-2a4f-4dd7-8385-89d07247379fCited by top-tier papers26
- Paint3D: Paint Anything 3D With Lighting-Less Texture Diffusion ModelsXianfang Zeng, Xin Chen, Zhongqi Qi, Wen Liu et al.CVPR 2024 · 44 citations
- TextureDreamer: Image-Guided Texture Synthesis through Geometry-Aware DiffusionYu-Ying Yeh, Jia-Bin Huang, Changil Kim, Lei Xiao et al.CVPR 2024 · 31 citations
- UniTEX: Universal High Fidelity Generative Texturing for 3D ShapesYixun Liang, Kunming Luo, Xiao Chen, Rui Chen et al.CVPR 2026 · 27 citations
- Enhancing High-Resolution 3D Generation through Pixel-wise Gradient ClippingZijie Pan, Jiachen Lu, Xiatian Zhu, Li ZhangICLR 2024 · 18 citations
- MaPa: Text-driven Photorealistic Material Painting for 3D ShapesShangzhan Zhang, Sida Peng, Tao Xu, Yuanbo Yang et al.SIGGRAPH 2024 · 15 citations
Builds on25
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh et al.ICML 2021 · 47,906 citations
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 35,902 citations
- Diffusion Models Beat GANs on Image SynthesisPrafulla Dhariwal, Alexander Quinn NicholNeurIPS 2021 · 13,211 citations
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser et al.CVPR 2022 · 13,123 citations
- Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, Lala Li et al.NeurIPS 2022 · 8,965 citations
Related papers
- UV-free Texture Generation with Denoising and Geodesic Heat DiffusionSimone Foti, Stefanos Zafeiriou, Tolga BirdalNeurIPS 2024 · 5 citations
- TexGarment: Consistent Garment UV Texture Generation via Efficient 3D Structure-Guided Diffusion TransformerJialun Liu, Jinbo Wu, Xiaobo Gao, Jiakui Hu et al.CVPR 2025
- MV2UV: Generating High-quality UV Texture Maps with Multiview PromptsZheng Zhang, Qinchuan Zhang, Yuteng Ye, Zhi Chen et al.CVPR 2026
- UVMap-ID: A Controllable and Personalized UV Map Generative ModelWeijie Wang, Jichao Zhang, Chang Liu, Xia Li et al.ACM MM 2024 · 3 citations
- TexOct: Generating Textures of 3D Models with Octree-based DiffusionJialun Liu, Chenming Wu, Xinqi Liu, Xing Liu et al.CVPR 2024 · 3 citations
