Adrian Bulat

:fire: 2D and 3D Face alignment library build using pytorch

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This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.

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This code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian Bulat and Georgios Tzimiropoulos.

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Real time face alignment

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Training code for the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.

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This repository implements a demo of the Human pose estimation via Convolutional Part Heatmap Regression paper.

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Estimate/count FLOPS for a given neural network using pytorch

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Binarize convolutional neural networks using pytorch :fire:

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Code for High-Capacity Expert Binary Networks (ICLR 2021).

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