3 papers
cs.CV2024
Domain-Aware Fine-Tuning of Foundation Models
Ugur Ali Kaplan, Margret Keuper, Anna Khoreva +2
Foundation models (FMs) have revolutionized computer vision, enabling effective learning across different domains. However, their performance under domain shift is yet underexplore…
cs.CV2024
Label-free Neural Semantic Image Synthesis
Jiayi Wang, Kevin Alexander Laube, Yumeng Li +4
Recent work has shown great progress in integrating spatial conditioning to control large, pre-trained text-to-image diffusion models. Despite these advances, existing methods desc…
cs.CV2024
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Yumeng Li, Margret Keuper, Dan Zhang +1
Despite the recent advances in large-scale diffusion models, little progress has been made on the layout-to-image (L2I) synthesis task. Current L2I models either suffer from poor e…