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photometric_optimization
Python

photometric_optimization

Photometric optimization code for creating the FLAME texture space and other applications

by HavenFeng · GitHub
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3d-face-reconstruction3d-graphics3d-modelMITPython
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In plain words

Fit a 3D head model to images and create texture variations for realistic appearances.

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593592
2026-07-202026-08-31
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📄 About

Photometric optimization code for creating the FLAME texture space and other applications

photometric_optimization has 592 stars on GitHub. It has been forked 97 times. photometric_optimization is written mainly in Python. It has been in active development since 2020. photometric_optimization is available under the MIT license. Its main topics are 3d-face-reconstruction, 3d-graphics, 3d-model, 3d-shapes.

Frequently asked questions

What is photometric_optimization?

Photometric optimization code for creating the FLAME texture space and other applications

Is photometric_optimization open source?

photometric_optimization is an open-source project. It is released under the MIT license.

Is photometric_optimization free?

Yes. photometric_optimization is free and open source — you can use, modify and self-host it.

What license does photometric_optimization use?

photometric_optimization is available under the MIT license.

What language is photometric_optimization written in?

photometric_optimization is written mainly in Python.

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