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data bottleneck

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papersTODAY 04:00 UTC

arXiv paper proposes training paradigm for fast long video generation

A new arXiv preprint addresses the difficulty of generating coherent minute-long videos, noting that while short clips are plentiful and high quality, long-form training data is scarce and confined to a few domains. The authors propose a training approach that combines mode-seeking and mean-seeking objectives to speed up long video generation. The work is positioned as a way to overcome the data bottleneck that limits scaling from seconds to minutes.

video-generation/research/training/generative-models