Abstract: In biomedical image analysis, developing architectures that effectively capture long-range dependencies is crucial. Traditional Convolutional Neural Networks (CNNs) are constrained by their ...

Abstract: Semantic image synthesis aims to generate high-quality images given semantic conditions, i.e., segmentation masks and style reference images. Existing methods widely adopt generative ...