TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark

An easy-to-use federated learning platform

An easy-to-use federated learning platform

Code for our AAAI 2024 paper

Implementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

Master Federated Learning in 2 Hours—Run It on Your PC!

This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

[ECCV 2024 Oral] EDTalk - Official PyTorch Implementation

MuseTalk: Real-Time High Quality Lip Synchorization with Latent Space Inpainting

The source code of "DINet: deformation inpainting network for realistic face visually dubbing on high resolution video."

An optimized pipeline for DINet reducing inference latency for up to 60% 🚀. Kudos for the authors of the original repo for this amazing work.

Auto-AVSR: Lip-Reading Sentences Project

[CVPR] MARLIN: Masked Autoencoder for facial video Representation LearnINg

📖 A curated list of resources dedicated to talking face.

Code for One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning (AAAI 2022)

Official code for ICCV 2023 paper: "Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation".

GOM：New Metric for Re-identification. 👉GOM explicitly balances the effect of performing retrieval and verification into a single unified metric.