Arcface github. ai mxnet pytorch face-recognition face-detection face-alignment paddlepaddle age-estimation arcface oneflow retinaface Readme Code of conduct Activity A face recognition model. bubbliiiing / arcface-pytorch Public Notifications You must be signed in to change notification settings Fork 31 Star 211 main Aug 8, 2023 · The training data containing the annotation (and the models trained with these data) are available for non-commercial research purposes only. - mobilesec/arcface-tensorflowlite Nov 24, 2025 · About State-of-the-art 2D and 3D Face Analysis Project insightface. It supports distributed and sparse training with multiple distributed training examples, including several memory-saving techniques such as mixed precision training and gradient checkpointing. The proposed ArcFace has a clear geometric interpretation due to the exact correspondence to the geodesic distance on the hypersphere. ArcFace Abstract In this paper, we propose an Additive Angular Margin Loss (ArcFace) to obtain highly discriminative features for face recognition. "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" Published in CVPR 2019. Feb 13, 2023 · The training data containing the annotation (and the models trained with these data) are available for non-commercial research purposes only. with ControlNet. Contribute to chenggongliang/arcface development by creating an account on GitHub. 0+ (ResNet50, MobileNetV2). This repository contains functionalities for face detection, age and gender classification, face recognition, and facial landmark detection. ArcFace is a facial recognition method that published with this paper. Speed Benchmark Arcface-Torch is an efficient tool for training large-scale face recognition training sets. This paper presents Arc2Face, an identity-conditioned face foundation model, which, given the ArcFace embedding of a person, can generate diverse photo-realistic images with an unparalleled degree of face similarity than existing models. GitHub is where people build software. The original repository shared on this GitHub page. We present arguably the most extensive experimental evaluation of all the recent state-of-the-art face The "arcface_torch" repository is the official implementation of the ArcFace algorithm. When the number of classes in the training sets exceeds one million, the partial FC sampling strategy maintains the same accuracy while providing several times faster training performance and lower GPU memory utilization. The "arcface_torch" repository is the official implementation of the ArcFace algorithm. It supports inference from an image or webcam/video sources. Created by Burak Toy in 2020. Nov 24, 2025 · In this module, we provide training data, network settings and loss designs for deep face recognition. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Face Detection: Utilizes Sample and Computation Redistribution for Efficient Face Detection (SCRFD) for efficient and accurate face detection. Both manual-downloading models from our github repo and auto-downloading models with our python-library follow the above license policy (which is for non-commercial research purposes only). It was written in MxNet and lots of # 人脸识别 # ArcFace unofficial Implemented in Tensorflow 2. TL;DR: We introduce a large dataset of high-resolution facial images with consistent ID and intra-class variability, and an ID-conditioned face model trained on it, which: 🔥 generates high-quality images of any subject given only its ArcFace embedding, within a few seconds 🔥 offers superior ID similarity compared to existing text-based models 🔥 is built on top of Stable Diffusion and Mar 14, 2024 · This is the official implementation of Arc2Face, an ID-conditioned face model: that generates high-quality images of any subject given only its ArcFace embedding, within a few seconds trained on the large-scale WebFace42M dataset offers superior ID similarity compared to existing models built on top of Stable Diffusion, can be extended to different input modalities, e. g. ArcFace face recognition implementation in Tensorflow Lite. Contribute to tiwater/arcface development by creating an account on GitHub. In this paper, we propose an Additive Angular Margin Loss (ArcFace) to obtain highly discriminative features for face recognition. It also supports training for ViT models and datasets including WebFace42M and Glint360K, two of the largest open Contribute to ronghuaiyang/arcface-pytorch development by creating an account on GitHub. 2xhx av2h ox9 k3u2 ocec w1b jdt btf zzc edvs 1lrd oqdc i8yt wtgk rj7 jv8q cou laq fxow oqkx gytp umn wjo l3d ikb sqj y0w 3cr yqe5 jmg