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Factorized ablations further validate the complementary roles of CBA and DPA, supporting balanced prompt adaptation as an effective alternative to entropy minimization for test-time binary segmentation.
Experimental results on widely used SR benchmarks indicate promising improvements in perceptual quality and distributional realism with a compact trainable parameter scale, suggesting the value of reliable, stage-aware, and parameter-efficient multimodal prior integration for diffusion-based image super-resolution.
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