AaronJackson/vrn
A volumetric CNN regression approach for reconstructing 3D face geometry from a single 2D image.

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This project implements a Volumetric Regression Network (VRN) that approaches 3D face reconstruction as a segmentation problem. The network produces a 3D volume aligned with the input image, from which a mesh can be extracted as an isosurface. Originally implemented in Torch7, it also has a MATLAB version for research reproducibility and a Docker image for easy deployment.