nauyihsnehs/IllumiDiff
IllumiDiff: Indoor Illumination Estimation from a Single Image with Diffusion Model (TVCG 2025)
This project helps 3D artists, game developers, or architects automatically determine the lighting conditions of an indoor scene from a single photograph. You provide a standard image, and it generates a detailed representation of the scene's illumination, which can then be used to light virtual environments accurately. It's designed for professionals working with computer graphics and visualization who need to match virtual lighting to real-world spaces.
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Use this if you need to quickly and accurately recreate the realistic lighting of an indoor space for 3D rendering or virtual scene integration, starting with just one photograph.
Not ideal if you need to analyze lighting for architectural daylighting studies or scientific research requiring absolute photometric accuracy from physical measurements.
Stars
14
Forks
3
Language
Python
License
AGPL-3.0
Category
Last pushed
Oct 04, 2025
Commits (30d)
0
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