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EucliDreamer: Fast and High-Quality Texturing for 3D Models with Stable Diffusion Depth
March 15, 2024, 4:46 a.m. | Cindy Le, Congrui Hetang, Chendi Lin, Ang Cao, Yihui He
cs.CV updates on arXiv.org arxiv.org
Abstract: This paper presents a novel method to generate textures for 3D models given text prompts and 3D meshes. Additional depth information is taken into account to perform the Score Distillation Sampling (SDS) process with depth conditional Stable Diffusion. We ran our model over the open-source dataset Objaverse and conducted a user study to compare the results with those of various 3D texturing methods. We have shown that our model can generate more satisfactory results and …
3d models abstract arxiv cs.cv cs.gr diffusion distillation generate information meshes novel paper process prompts quality ran sampling stable diffusion text type
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