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DASH: Dual-Branch Score Distillation for Guidance-Calibrated Compact Diffusion Models
Parameter compression of class-conditional diffusion models exposes a structural limitation in output-level distillation: supervising only the guided output leaves the two score branches non-identifiable, so the classifier-free guidance gap is not determined in the student. The zero-loss set admits
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