Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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3ddfa | 3,243 | 2 years ago | 52 | mit | Python | |||||
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution. | ||||||||||
Face.evolve | 3,074 | a year ago | 84 | mit | Python | |||||
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥 | ||||||||||
3ddfa_v2 | 2,554 | 10 months ago | 90 | mit | Python | |||||
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020. | ||||||||||
Tenginekit | 1,993 | 3 years ago | 14 | other | C++ | |||||
TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile. | ||||||||||
2d And 3d Face Alignment | 693 | 6 years ago | 4 | bsd-3-clause | Lua | |||||
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. | ||||||||||
Emoca | 554 | 5 months ago | 48 | other | Python | |||||
Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild | ||||||||||
Faceswap | 511 | 3 years ago | 26 | mit | Python | |||||
3D face swapping implemented in Python | ||||||||||
Flame Fitting | 508 | a year ago | 14 | Python | ||||||
Example code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans. | ||||||||||
Deepalignmentnetwork | 452 | 6 years ago | 43 | mit | Python | |||||
A deep neural network for face alignment | ||||||||||
Tf_flame | 339 | a year ago | 14 | Python | ||||||
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. |