seddi-research/NEnv

Official repository of "NEnv: Neural Environment Maps for Global Illumination"

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This helps computer graphics professionals create realistic lighting in 3D scenes. It takes in an environment map (a 360-degree image of light sources) and outputs a highly accurate, yet extremely fast to sample, representation of that lighting. 3D artists, game developers, and architectural visualizers would use this to render scenes with global illumination much more efficiently.

No commits in the last 6 months.

Use this if you need to quickly and accurately simulate complex indoor or outdoor global illumination in your 3D scenes.

Not ideal if you primarily work with simple, direct lighting models or if your rendering pipeline doesn't require advanced global illumination techniques.

3D-rendering global-illumination computer-graphics architectural-visualization game-development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

22

Forks

4

Language

Python

License

MIT

Last pushed

Aug 20, 2023

Commits (30d)

0

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