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5 search results found

Ringnet ⭐ 695

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

Flame_pytorch ⭐ 444

This is a implementation of the 3D FLAME model in PyTorch

Tf_flame ⭐ 339

Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.

Spectre ⭐ 114

Official Pytorch Implementation of SPECTRE: Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos

Now_evaluation ⭐ 74

This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods from a single image under variations in viewing angle, lighting, and common occlusions.

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