1 citations · 1 across the 11 of their papers we have counts for
3 papers · 1 filter
Paired Wasserstein Autoencoders for Conditional Sampling
Moritz Piening, Matthias Chung
Generative autoencoders learn compact latent representations of data distributions through jointly optimized encoder--decoder pairs. In particular, Wasserstein autoencoders (WAEs)…
Conditional Generative Models for Contrast-Enhanced Synthesis of T1w and T1 Maps in Brain MRI
Moritz Piening, Fabian Altekrüger, Gabriele Steidl +2
Contrast enhancement by Gadolinium-based contrast agents (GBCAs) is a vital tool for tumor diagnosis in neuroradiology. Based on brain MRI scans of glioblastoma before and after Ga…
T-FAKE: Synthesizing Thermal Images for Facial Landmarking
Philipp Flotho, Moritz Piening, Anna Kukleva +1
Facial analysis is a key component in a wide range of applications such as healthcare, autonomous driving, and entertainment. Despite the availability of various facial RGB dataset…