AI RESEARCH
Flowception: Temporally Expansive Flow Matching for Video Generation
arXiv CS.AI
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ArXi:2512.11438v2 Announce Type: replace-cross We present Flowception, a novel non-autoregressive and variable-length video generation framework. Flowception learns a probability path that interleaves discrete frame insertions with continuous frame denoising. Compared to autoregressive methods, Flowception alleviates error accumulation/drift as the frame insertion mechanism during sampling serves as an efficient compression mechanism to handle long-term context. Compared to full-sequence flows, our method reduces FLOPs for.