duxiaodan/intrinsic-lora
Official repo of ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น๐: ๐ช๐ต๐ฎ๐ ๐๐ผ ๐ง๐ต๐ฒ๐ ๐๐ป๐ผ๐? ๐๐ผ ๐ง๐ต๐ฒ๐ ๐๐ป๐ผ๐ ๐ง๐ต๐ถ๐ป๐ด๐? ๐๐ฒ๐'๐ ๐๐ถ๐ป๐ฑ ๐ข๐๐! (Previously titled ๐๐ฏ๐ต๐ณ๐ช๐ฏ๐ด๐ช๐ค ๐๐ฐ๐๐: ๐ ๐๐ฆ๐ฏ๐ฆ๐ณ๐ข๐ญ๐ช๐ด๐ต ๐๐ฑ๐ฑ๐ณ๐ฐ๐ข๐ค๐ฉ ๐ง๐ฐ๐ณ ๐๐ช๐ด๐ค๐ฐ๐ท๐ฆ๐ณ๐ช๐ฏ๐จ ๐๐ฏ๐ฐ๐ธ๐ญ๐ฆ๐ฅ๐จ๐ฆ ๐ช๐ฏ ๐๐ฆ๐ฏ๐ฆ๐ณ๐ข๐ต๐ช๐ท๐ฆ ๐๐ฐ๐ฅ๐ฆ๐ญ๐ด))
This project helps 3D artists, game developers, or computer vision researchers extract intrinsic scene properties like depth, surface normals, albedo, and shading from existing generative models (like Stable Diffusion). You provide a trained generative model and some labeled images, and it outputs detailed intrinsic image components that explain how the generated scene is put together. This is ideal for those who work with synthetic image generation and need to decompose scenes into their fundamental attributes.
191 stars. No commits in the last 6 months.
Use this if you need to understand or modify the underlying physical properties of images generated by AI models, such as separating an object's color from its lighting.
Not ideal if you're not working with generative AI models or if your primary goal is general image editing rather than intrinsic scene decomposition.
Stars
191
Forks
8
Language
Python
License
—
Category
Last pushed
Oct 21, 2024
Commits (30d)
0
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