Face2Face is a browser-based WebRTC-powered video calling application built with Python, designed for seamless peer-to-peer communication on local or offline networks. It includes features like screen sharing, whiteboarding, in-call chat, recording, participant controls, and more — all with zero external dependencies for signaling.

"MesoNet: a Compact Facial Video Forgery Detection Network" (D. Afchar, V. Nozick) - IEEE WIFS 2018

Prueba en python para cambiar caras entre personas

Audio driven video synthesis

This is the accompanying code for the Medium article: https://medium.com/@karol_majek/high-resolution-face2face-with-pix2pix-1024x1024-37b90c1ca7e8

Temporal networks in Python. Provides fast tools to analyze temporal contact networks and simulate dynamic processes on them using Gillespie's SSA.

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

Final Project for Stanford Deep Generative Modeling Class CS236.

Face swap and 3D alignment from a single image based on PRNet

Real-time Facial Expression Transfer --> facial expression capture and reenactment via webcam

using pix2pix-tensorflow

StarGAN with a triple consistency loss

Proyecto para Redes Neuronales. Utiliza pix2pix para aprender los rasgos faciales y ponerlos en una cara

This is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !