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Semantic Affine Consistency transforms how visual tokenizers align latent semantics, resulting in a 26% reduction in gFID and setting a new benchmark for diffusion models.
Cross-domain landslide mapping can achieve a 23.99% reduction in false positives by adapting at the candidate body level, revealing the limitations of pixel-level approaches.
