Awesome GitHub RepositoriesFace Manipulation

InsightFace is a comprehensive deep learning framework designed for face recognition, biometric identity verification, and feature extraction. It provides a specialized engine for one-to-one verification and one-to-many identification tasks, utilizing convolutional neural networks to transform raw image pixels into high-dimensional vector embeddings. The project includes a complete toolkit for detecting, aligning, and processing facial data to ensure consistent identity discrimination. Beyond core recognition, the platform distinguishes itself through an extensive model management and optimiz

Openface is a deep learning toolkit designed for facial recognition and identity verification. It provides a comprehensive pipeline for detecting faces, aligning landmarks, and transforming facial images into compact numerical vectors. By utilizing these embeddings, the system enables identity classification and similarity comparison through geometric distance calculations. The project distinguishes itself by integrating research-oriented diagnostic tools alongside its core recognition capabilities. It includes utilities for visualizing high-dimensional feature clusters, inspecting internal c

FaceNet is a facial recognition framework designed to transform facial images into high-dimensional numerical embeddings for identity verification and recognition. It provides a deep learning face embedder that maps facial features into a Euclidean space where distance corresponds to facial similarity. The system includes tools for both supervised and unsupervised identity management. It features a face identity classifier for categorizing images into known identity classes and an unsupervised clustering tool to group similar facial embeddings together without predefined labels. The framewor

Implementation for in CVPR'17.

This branch is developed for deep face recognition

2K real-time detection is so easy!

This is the implementation of paper <Additive Margin Softmax for Face Verification>

by Feng Wang, Weiyang Liu, Haijun Liu, Jian Cheng

By Yichun Shi and Anil K. Jain

NormFace: L2 HyperSphere Embedding for Face Verification

This is a demo code of training and testing Probabilistic Face Embeddings using Tensorflow. Probabilistic Face Embeddging (PFE) is a method that converts conventional CNN-based face embeddings into probabilistic embeddings by calibrating each feature value with an uncertainty value. The…

Tensorflow implementation for paper CosFace: Large Margin Cosine Loss for Deep Face Recognition

Download from the Websit: http://home.ustc.edu.cn/~chendong/JointBayesian/

PyTorch module to use OpenFace's nn4.small2.v1.t7 model

SphereFace+ is released under the MIT License (refer to the LICENSE file for details).

A PyTorch code of paper Dual Variational Generation for Low Shot Heterogeneous Face Recognition.

This is code for the PDSN in our paper. Deep Convolutional Neural Networks (CNNs) have been pushing the frontier of face recognition over past years. However, existing general CNN face models generalize poorly for occlusions on variable facial areas. Inspired by the fact that the human visual…