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2D/3D face analysis with AI
A 2D and 3D face alignment library built using PyTorch for face detection and alignment.
A curated collection of papers and resources related to various aspects of face recognition technology.
A PyTorch-based library for 3D facial alignment, useful for computer vision and AI-powered applications.
A high-performance face recognition library for developers built on PaddlePaddle and PyTorch.
A PyTorch implementation of a fast and accurate 3D face alignment model for computer vision applications.
TengineKit is a fast and easy-to-use SDK for real-time face detection, face landmarks, face attributes, hand detection, body detection, and more on mobile devices.
A deep face detection library for Python with high accuracy and real-time performance.
A deep learning-based face landmark detection library for real-time Android applications.
An official implementation of facial landmark detection using the Deep High-Resolution Representation Learning (HRNet) approach.
A boundary-aware face alignment algorithm for computer vision tasks, published at CVPR 2018.
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