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News/GeoSPRINT: Geometric Redundancy-Aware Step Pruning for Inference in Diffusion Trajectories
arxiv
PublishedSeptember 3, 2026 at 4:00 AM
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GeoSPRINT: Geometric Redundancy-Aware Step Pruning for Inference in Diffusion Trajectories

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arXiv:2609.02160v1 Announce Type: cross Abstract: Diffusion models achieve high sample quality but remain expensive at inference time because sampling requires many sequential neural function evaluations (NFEs). Existing acceleration methods either use fixed step-skipping schedules, adapt step sizes

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