Life sciences · Preprint
arXiv · September 10, 2026
Posted before peer review. The findings may change or fail to hold.
This is a preprint announcement of Vidu S2, a software system for real-time interactive video generation and editing, with claims of outperformance over baselines. The work is not peer-reviewed, contains no clinical or health-science content, and reports only qualitative feature comparisons without quantitative efficacy data, statistical analysis, or standardized evaluation metrics.
Preprint.
Vidu S2-Avatar supports real-time 720p video generation with dynamic references and instruction following Vidu S2-Editing supports real-time video stream editing including style rendering, clothing replacement, character replacement, and background replacement Vidu S2 outperforms all baselines (no specific metrics or comparators named)
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
The source did not state who this applies to in practice.
This is an unrefereed arXiv preprint describing a technical system for video generation with no peer review, clinical outcomes, or comparative efficacy data suitable for clinical decision-making.
Quoted from the source exactly as published.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
We present Vidu S2, which comprises Vidu S2-Avatar, a real-time interactive digital-character model, and Vidu S2-Editing, a real-time video editing model. Moreover, we explore the feasibility of real-time spatial video generation for both Vidu S2-Avatar and Vidu S2-Editing. Compared with Vidu S1, Vidu S2-Avatar supports real-time 720p video generation, generation with dynamic references that can be updated at any moment, and stronger instruction following, such as dancing. Vidu S2-Editing supports editing a video stream in real time, including style rendering, clothing replacement, character replacement, and background replacement. Experiments show that Vidu S2 outperforms all baselines. A playable online demo is available at https://vidu.com/vidu-stream.
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