Dual-Generator Face Reenactment
Introduction Face reenactment (FR) is a conditional face generation technique aiming to accomplish two objectives given a pair of face images (source and reference faces):  1) Translate an expression and pose of a reference face (=face shape) into a target face. 2) Transfer an identity of a source face into a target face. The goal…
Datagen 04/10/2022
7 Min read

Editor’s pick

Solving Autonomous Driving at Scale
Datagen 20/06/2022

Solving Autonomous Driving at Scale
For the fourth episode of his podcast, Unboxing AI, Datagen CTO and co-founder, Gil Elbaz sat down with Vijay Badrinarayanan to talk about Wayve’s…
8 Min read

Explore more content

AI
Computer vision
Data sets
Event papers
Facial recognition
Product releases
Synthetic data

Latest posts

The State of Facial Recognition Today
Datagen 29/03/2023

The State of Facial Recognition Today

This is the first of a two part series on the state of facial recognition and its challenges. Officials across the world, from Moscow to San…
7 Min read
Learn More
Procedural Humans for Computer Vision
Datagen 22/03/2023

Procedural Humans for Computer Vision

This is part one of our review of the Procedural Humans for Computer Vision paper. Synthetic data has shown tremendous potential in various…
7 Min read
Learn More
Synthetic Data: Simulation & Visual Effects at Scale
Datagen 08/03/2023

Synthetic Data: Simulation & Visual Effects at Scale

Tadas Baltrusaitis is a principal scientist working in the Microsoft Mixed Reality and AI lab in Cambridge UK where he leads the human synthetics…
7 Min read
Learn More
1
2
3
4
>