decorate3d
Country:
- North America > Canada > Alberta (0.14)
- North America > Canada > Ontario > Hamilton (0.05)
- Asia (0.05)
Industry:
- Media > Film (0.70)
- Leisure & Entertainment (0.48)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.98)
Country:
- North America > Canada > Alberta (0.14)
- North America > Canada > Ontario > Hamilton (0.04)
- Asia (0.04)
Technology:
Country:
- North America > Canada > Alberta (0.14)
- North America > Canada > Ontario > Hamilton (0.04)
- Asia (0.04)
Industry:
- Media > Film (0.70)
- Leisure & Entertainment (0.48)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.97)
Country:
- North America > Canada > Alberta (0.14)
- North America > Canada > Ontario > Hamilton (0.04)
- Asia (0.04)
Technology:
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.