SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow

For image synthesis, we propose a finite perturbation approach to enhance the diversity of generated results without changing the semantic categories. Experiments show that our SemFlow achieves competitive results on semantic segmentation and semantic image synthesis tasks.