Semantic Prism uses a fixed color-to-class codebook to turn a one-step generated semantic image into a probabilistic interface, then refines interface logits with hierarchical generator features, lifting Cityscapes mIoU from 60.68% to 72.07%.
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Generative Semantic Segmentation via an Observable Semantic-Image Interface and Hierarchical Generator Evidence Alignment
Semantic Prism uses a fixed color-to-class codebook to turn a one-step generated semantic image into a probabilistic interface, then refines interface logits with hierarchical generator features, lifting Cityscapes mIoU from 60.68% to 72.07%.