Project
AA5-8
Convolutional Brenier Generative Networks
Project Heads
Hanno Gottschalk, Gabriele Steidl
Project Members
Ségolène Martin
Project Duration
01.01.2024 − 31.12.2025
Located at
TU Berlin
Description
Brenier’s theorem from optimal transport has been used to prove the existence of perfect generators in generative adversarial learning. Only recently, Brenier potentials were approximated by input convex neural networks. The aim of this project is the design, mathematical study and application of deep convolutional neural networks for approximating Brenier-like maps, resp. potentials in view of equivariance, resp. invariance properties.
External Website
Selected Publications