patrikhuber/eos

Health v2 · maintenance only

Adoption not part of the score

1980 stars · 594 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A lightweight, header-only 3D Morphable Face Model (3DMM) fitting library written in modern C++11/14, with Python bindings. It provides model representation, camera pose estimation, shape/expression/edge fitting, and texture extraction for 3D face reconstruction.

Use cases

• fit a 3D morphable face model to facial landmarks
• reconstruct a 3D face from a single image
• estimate camera pose from face landmarks
• extract pose-invariant face texture
• sample random faces from a 3DMM like BFM or LYHM
• fit facial expression blendshapes to an image

When to choose

• you need fast, dependency-free 3D face fitting in C++ or Python
• you work with standard 3DMMs like BFM, SFM, 4DFM, or LYHM
• you want a lightweight, header-only library for 3D face reconstruction research or apps

When to avoid

• you need full photorealistic rendering or high-fidelity non-linear optimization out of the box
• you need a deep-learning-based face reconstruction pipeline rather than model-based fitting
• you need support for full-body or non-face 3D models

Facets

library · maturity active

computer-vision image-processing machine-learning graphics computer-vision image-processing machine-learning cpp python cross-platform 3d-morphable-model 3dmm face-reconstruction face-fitting header-only 3d-face

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