CDM migrates distribution matching distillation to continuous time via dynamic random-length schedules and active off-trajectory latent alignment, yielding competitive few-step image fidelity on SD3 and Longcat-Image.
Few-step diffusion via score identity distillation
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Geometry-Aware Distillation restores initial noise sensitivity in text-to-image distillation by matching Jacobian-vector products to align local geometric structure, improving diversity while maintaining fidelity.
citing papers explorer
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Continuous-Time Distribution Matching for Few-Step Diffusion Distillation
CDM migrates distribution matching distillation to continuous time via dynamic random-length schedules and active off-trajectory latent alignment, yielding competitive few-step image fidelity on SD3 and Longcat-Image.
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Restoring Initial Noise Sensitivity in Text-to-Image Distillation via Geometric Alignment
Geometry-Aware Distillation restores initial noise sensitivity in text-to-image distillation by matching Jacobian-vector products to align local geometric structure, improving diversity while maintaining fidelity.