1adrianb/2D-and-3D-face-alignment
A deep learning demo for 2D and 3D facial landmark detection using Torch7 neural networks.
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This repository implements the networks from the paper on 2D and 3D face alignment, predicting facial landmarks using deep convolutional neural networks. It provides inference code for the 3D-FAN (Face Alignment Network) models trained on 230,000 3D facial landmarks. The demo uses Torch7 and Python, with GPU support via CUDA/cuDNN.
Frequently asked
- What is 1adrianb/2D-and-3D-face-alignment?
- A deep learning demo for 2D and 3D facial landmark detection using Torch7 neural networks.
- Is 2D-and-3D-face-alignment open source?
- Yes — 1adrianb/2D-and-3D-face-alignment is an open-source project tracked on heatdrop.
- What language is 2D-and-3D-face-alignment written in?
- 1adrianb/2D-and-3D-face-alignment is primarily written in Lua.
- How popular is 2D-and-3D-face-alignment?
- 1adrianb/2D-and-3D-face-alignment has 973 stars on GitHub.
- Where can I find 2D-and-3D-face-alignment?
- 1adrianb/2D-and-3D-face-alignment is on GitHub at https://github.com/1adrianb/2D-and-3D-face-alignment.