PhysStream is an autoregressive model for physics-grounded image-to-video synthesis that uses structured scene memory and fine-grained motion control through sparse velocity-increment signals. It enables interactive, mid-generation control over multi-object tabletop rigid-body scenes, achieving improvements in physical consistency compared to existing methods.
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PhysStream allows for interactive control during video generation, enabling more accurate and physically consistent manipulation of dynamic scenes compared to previous methods.
The paper introduces Vidu S2, a system with two components: Vidu S2-Avatar for real-time interactive digital characters and Vidu S2-Editing for real-time video editing. It also explores real-time spatial video generation for both components. Compared to its predecessor, Vidu S2-Avatar offers improved real-time 720p video generation, dynamic reference updates, and enhanced instruction following. Vidu S2-Editing enables real-time video stream editing with features like style rendering and background replacement.
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