Luo-Yihang/3DEnhancer
[CVPR 2025] 3DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement
This project helps 3D artists and modelers enhance the quality of their 3D models. It takes low-resolution or inconsistent multi-view images of a 3D object and outputs higher-quality, consistent images that improve the final 3D representation. Artists working with digital assets for games, virtual reality, or CGI would find this useful.
102 stars.
Use this if you need to improve the visual quality and consistency of 3D models derived from multi-view images, especially when the initial images are low-resolution or lack coherence across different angles.
Not ideal if your primary goal is to generate 3D models from scratch without any existing multi-view imagery or if you're working with single-view 2D images.
Stars
102
Forks
5
Language
Python
License
—
Category
Last pushed
Feb 06, 2026
Commits (30d)
0
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