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.
arXiv preprint arXiv:2503.10637 , year=
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SubFlow restores full mode coverage in one-step flow matching by conditioning on sub-modes from semantic clustering, yielding higher diversity on ImageNet-256 while preserving FID.
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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.
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SubFlow: Sub-mode Conditioned Flow Matching for Diverse One-Step Generation
SubFlow restores full mode coverage in one-step flow matching by conditioning on sub-modes from semantic clustering, yielding higher diversity on ImageNet-256 while preserving FID.