Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild

This paper presents Decorate3D, a versatile and user-friendly method for the creation and editing of 3D objects using images. Subsequently, users can either manually edit the UV or provide a prompt for the automatic generation of a new 3D-consistent texture. To achieve high-quality 3D texture generation, we propose a structure-aware score distillation sampling method to optimize a neural UV texture based on user-defined text and empower an image diffusion model with 3D-consistent generation capability. Furthermore, we introduce a few-view resampling training method and utilize a super-resolution model to obtain refined high-resolution UV textures (2048 \times 2048) for 3D texturing.