Disputation von Tobias Hinz am 28.04.2021, 14:00 Uhr
28. April 2021, von Reinhard Zierke
Einladung zur hochschulöffentlichen Disputation im Rahmen des Promotionsverfahrens von
Herrn Tobias Hinz
Titel der Dissertation:
Disentanglement, Compositionality, Specification: Representation Learning with Generative Adversarial Networks
Abstract:
Learning good data representations is one of the most important tasks for machine learning. Generative adversarial nets (GANs) offer a powerful framework for learning image representations and offer functionalities such as image generation and editing. This thesis introduces three approaches to improve the learned image representations and their usage for several downstream tasks. Based on these approaches we show how we can use GANs to learn disentangled, compositional, and highly specific representations and how these can be applied to various tasks such as image generation, image-to-image translation, text-to-image synthesis, and image editing.
Datum und Uhrzeit: Mittwoch, 28. April 2021 um 14:00 Uhr
Ort: per Videokonferenz in Zoom
Betreuer: Prof. Dr. Stefan Wermter
Prof. Dr. Matthias Rarey
Vorsitzender des Fachpromotionsausschusses Informatik