TempoMaster: Efficient Long Video Generation via Next-Frame-Rate Prediction
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Abstract (arXiv)
We present TempoMaster, a novel framework that formulates long video generation as next-frame-rate prediction. Specifically, we first generate a low-frame-rate clip that serves as a coarse blueprint of the entire video sequence, and then progressively increase the frame rate to refine visual details and motion continuity. During generation, TempoMaster employs bidirectional attention within each frame-rate level while performing autoregression across frame rates, thus achieving long-range temporal coherence while enabling efficient and parallel synthesis. Extensive experiments demonstrate that TempoMaster establishes a new state-of-the-art in long video generation, excelling in both visual and temporal quality.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 34 of its 41 references that are in the map. First posted on arXiv 16 Nov 2025.
Builds on
34 of 41 references.
References · 34
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22 more
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Citing papers per year: 2026: 4.
4 papers.
- 2026Pathwise Test-Time Correction for Autoregressive Long Video Generationcited by 15
- 2026A Mechanistic View on Video Generation as World Models: State and Dynamicscited by 6
- 2026EcoVideo: Entropy-Orchestrated Video Generation Paradigm in Cloud-Edge Dynamicscited by 2
- 2026Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generationcited by 1
- 2026Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation10 Jul 2026
- 2026EcoVideo: Entropy-Orchestrated Video Generation Paradigm in Cloud-Edge Dynamics29 Jun 2026
- 2026Pathwise Test-Time Correction for Autoregressive Long Video Generation5 Feb 2026
- 2026A Mechanistic View on Video Generation as World Models: State and Dynamics22 Jan 2026