Meta-learning for Image Generation/Manipulation using Scene Graphs
Thesis by: Sabrina Musatian
Advisor:
Azade Farshad,
Helisa Dhamo
Supervision by:
Prof. Dr. Nassir Navab
Due date:
Abstract
Image generation using scene graphs in natural scenes is a challenging task in high image resolutions. In this project, we aim to improve the quality of image generation and manipulation from scene graphs using meta-learning approaches used for the few-shot learning problem. We plan to incorporate domain adaptation and information from synthetic images to learn a well-generalized model that adapts fast to new scenes.
Resources
Literature