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

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 !

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

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

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

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

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

Audio driven video synthesis

Final Project for Stanford Deep Generative Modeling Class CS236.

StarGAN with a triple consistency loss

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

using pix2pix-tensorflow

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.

Prueba en python para cambiar caras entre personas