: It facilitates a "director-like" workflow where users can progressively develop content shot-by-shot, using previously generated footage as a reference for the next segment.

: The model can extend a single shot to minute-long durations by auto-regressively generating 10-second segments that seamlessly connect without visible cuts.

: By using context-causal attention, the model supports efficient long-form generation, making it practical for creating extended visual narratives.

[2503.10589] Long Context Tuning for Video Generation - arXiv

Lu-vennv2a4.mp4 Official

: It facilitates a "director-like" workflow where users can progressively develop content shot-by-shot, using previously generated footage as a reference for the next segment.

: The model can extend a single shot to minute-long durations by auto-regressively generating 10-second segments that seamlessly connect without visible cuts. lu-VEnnv2a4.mp4

: By using context-causal attention, the model supports efficient long-form generation, making it practical for creating extended visual narratives. : It facilitates a "director-like" workflow where users

[2503.10589] Long Context Tuning for Video Generation - arXiv the model supports efficient long-form generation

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