Noise2Map: End-to-End Diffusion Model for Semantic Segmentation and Change Detection

ArXi:2604.27889v1 Announce Type: new Semantic segmentation and change detection are two fundamental challenges in remote sensing, requiring models to capture either spatial semantics or temporal differences from satellite imagery. Existing deep learning models often struggle with temporal inconsistencies or in capturing fine-grained spatial structures, require extensive pre