AaronJackson/vrn

Health v2 · maintenance only

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Adoption not part of the score

4517 stars · 741 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Research code for the ICCV 2017 paper 'Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression'. It uses a CNN to regress a volumetric 3D facial geometry directly from a single 2D image, without needing 3D Morphable Model fitting or dense correspondences.

Use cases

• reconstruct a 3D face model from a single 2D photo
• generate 3D facial geometry for arbitrary poses and expressions
• research on volumetric CNN regression for faces
• facial landmark localization combined with 3D reconstruction
• reproduce results from the VRN paper

When to choose

• you need single-image 3D face reconstruction without 3DMM fitting
• you want to study or extend the volumetric CNN regression approach
• you can work with Torch7/Lua and MATLAB research code

When to avoid

• you need a production-ready, actively maintained 3D face reconstruction pipeline
• you require modern deep learning framework support like PyTorch or TensorFlow
• you need real-time performance on modern hardware

Facets

library · maturity maintenance

computer-vision machine-learning deep-learning image-processing computer-vision deep-learning machine-learning artificial-intelligence python lua 3d-face-reconstruction volumetric-regression cnn torch7 matlab research-code iccv-2017 linux macos

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