Zielon/MICA
Neural network for reconstructing metrically accurate 3D face geometry from single images.
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MICA is a deep learning method for metrical 3D face reconstruction from monocular images. It leverages a neural network to estimate 3D facial geometry and camera parameters using the FLAME parametric face model. The approach fits the 3DMM to input images through optimization, producing accurate face reconstructions suitable for downstream analysis and applications.
Frequently asked
- What is Zielon/MICA?
- Neural network for reconstructing metrically accurate 3D face geometry from single images.
- Is MICA open source?
- Yes — Zielon/MICA is an open-source project tracked on heatdrop.
- What language is MICA written in?
- Zielon/MICA is primarily written in Python.
- How popular is MICA?
- Zielon/MICA has 642 stars on GitHub.
- Where can I find MICA?
- Zielon/MICA is on GitHub at https://github.com/Zielon/MICA.