https://daveredrum.github.io/SceneTex/

[CVPR 2024 Highlight] SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors
https://daveredrum.github.io/SceneTex/

3d aigc cv cvpr2024

Last synced: about 1 month ago
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[CVPR 2024 Highlight] SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors

• Host: GitHub
• URL: https://daveredrum.github.io/SceneTex/
• Owner: daveredrum
• License: other
• Created: 2023-11-28T15:38:40.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-02-16T20:32:34.000Z (about 1 year ago)
• Last Synced: 2024-11-02T05:32:33.816Z (6 months ago)
• Topics: 3d, aigc, cv, cvpr2024
• Language: Python
• Homepage: https://daveredrum.github.io/SceneTex/
• Size: 214 MB
• Stars: 188
• Watchers: 6
• Forks: 7
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-cvpr-2024 - SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors - Ying Lee | [](https://github.com/daveredrum/SceneTex) [](https://ar5iv.labs.arxiv.org/html/2311.17261) | SceneTex generates high-quality indoor scene textures using depth-to-image diffusion priors. Key features include optimization in RGB space, multiresolution texture field, and cross-attention decoder for global style consistency. Experiments show it outperforms prior methods, but limitations include occasional artifacts and inability to handle complex geometry. | (🧨Diffusion)