Shunqi Mao

ReAL: Accelerating Flow Matching through Segment Advancement with Shared Lookahead

Flow-matching models generate high-quality images and videos, but repeated neural network evaluations make sampling expensive. Skipping evaluations reduces this cost by extending an available velocity estimate over a longer span. However, local velocity agreement alone does not determine a suitable span, and checking e...