#288 · Primary category： Computer Vision
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
Project last updated：12/06/24
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Why we included this project
EMOCA is the official implementation of a CVPR 2022 paper, and it still works well as a reference point for anyone doing monocular face capture. Give it a single 2D photo of a face and it reconstructs a 3D mesh that keeps the emotional expression, fitting the FLAME morphable model first and then layering fine geometric detail over the coarse shape. The repo ships the trained models, preprocessing, and evaluation code from the paper, which makes it useful as a research baseline and as a scaffold for face-driven graphics work. One thing to watch is the license: it is Max Planck's non-commercial research license, so practical use stays within research and non-commercial projects. The author also points newer users to the Inferno library as a more capable follow-up, so treat EMOCA as the reference and Inferno as the upgrade path.
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