perceivelab/surfacenet

The official PyTorch implementation for paper "SurfaceNet: Adversarial SVBRDF Estimation from a Single Image"

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This project helps 3D artists, game developers, and product designers reconstruct detailed material properties from a single photograph. You provide one image of an object, and it generates separate maps describing its color, shininess, roughness, and transparency. This allows for realistic rendering of objects in virtual environments or for material analysis.

No commits in the last 6 months.

Use this if you need to accurately capture and separate the surface characteristics (like how light reflects and scatters) of a real-world object from a single photo for use in 3D modeling or rendering.

Not ideal if you need to reconstruct 3D geometry or if you have multiple images and advanced scanning equipment for extremely precise material capture.

3D-rendering material-scanning computer-graphics product-visualization game-development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

45

Forks

5

Language

Python

License

MIT

Last pushed

Nov 03, 2023

Commits (30d)

0

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