nauyihsnehs/IllumiDiff

IllumiDiff: Indoor Illumination Estimation from a Single Image with Diffusion Model (TVCG 2025)

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Emerging

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.

No commits in the last 6 months.

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.

3D rendering Computer graphics Virtual environment design Architectural visualization Game development
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 15 / 25
Community 14 / 25

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Stars

14

Forks

3

Language

Python

License

AGPL-3.0

Last pushed

Oct 04, 2025

Commits (30d)

0

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