Latent Diffusion With Topology-Preserving Conditioning for Structure-Aware Data Generation.
Conditional latent diffusion has become a promising paradigm for synthesizing paired image-mask data for segmentation, yet preserving structural topology remains challenging for curvilinear objects such as vessels and cracks. Existing methods mainly focus on how to inject spatial conditions into generative backbones, w...