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Garment3DGen: 3D Garment Stylization and Texture Generation
March 28, 2024, 4:45 a.m. | Nikolaos Sarafianos, Tuur Stuyck, Xiaoyu Xiang, Yilei Li, Jovan Popovic, Rakesh Ranjan
cs.CV updates on arXiv.org arxiv.org
Abstract: We introduce Garment3DGen a new method to synthesize 3D garment assets from a base mesh given a single input image as guidance. Our proposed approach allows users to generate 3D textured clothes based on both real and synthetic images, such as those generated by text prompts. The generated assets can be directly draped and simulated on human bodies. First, we leverage the recent progress of image to 3D diffusion methods to generate 3D garment geometries. …
abstract arxiv cs.cv generate generated guidance image images mesh prompts synthetic text texture type
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