radekd91/emoca

Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild

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This project helps animators, VFX artists, or researchers quickly turn a single still image of a person's face into a detailed 3D facial model. It captures subtle emotional expressions to create lifelike digital characters. You provide a photo, and it generates a 3D reconstruction of the face, ready for animation or further manipulation.

828 stars. No commits in the last 6 months.

Use this if you need to create accurate 3D facial models from existing photos, especially when capturing nuanced emotional expressions is important.

Not ideal if you need a real-time face capture system or prefer a more robust and actively maintained face reconstruction solution, in which case the 'inferno' library's FaceReconstruction module is recommended.

3D-modeling facial-animation digital-humans character-design VFX
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

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828

Forks

102

Language

Python

License

Last pushed

Dec 06, 2024

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