TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture Generation

arXiv:2403.12906v1 Announce Type: new
Abstract: Texturing 3D humans with semantic UV maps remains a challenge due to the difficulty of acquiring reasonably unfolded UV. Despite recent text-to-3D advancements in supervising multi-view renderings using large text-to-image (T2I) models, issues persist with generation speed, text consistency, and texture quality, resulting in data scarcity among existing datasets. We present TexDreamer, the first zero-shot multimodal high-fidelity 3D human texture generation model. Utilizing an efficient texture adaptation finetuning strategy, we adapt large T2I model to …

abstract arxiv challenge cs.cv data fidelity human humans image maps quality semantic speed text text-to-image texture type view zero-shot