Shypd.aiThe largest open index of AI tools3dmm_cnn is an open-source tool for 3D face modeling from single images. It uses a deep neural network to estimate 3D facial shape and texture, producing standard PLY files.
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3dmm_cnn is an open-source project that provides an end-to-end solution for regressing robust and discriminative 3D Morphable Models (3DMM) from unconstrained 2D face images. Utilizing a very deep neural network, this tool estimates the 3D facial shape and texture, outputting a standard PLY file. It is designed to work effectively even with challenging datasets like LFW, YTF, and IJB-A benchmarks. A key feature is its speed, as it avoids expensive, iterative optimization loops for shape regression. Additionally, 3dmm_cnn includes extra code for head pose and expression estimation using detected facial landmarks and the regressed 3D face model. The project is primarily developed in C++ and Python, with dependencies including Dlib, OpenCV, Caffe, and Numpy, and has been tested on Linux.
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