SOURCE-LINKED INTELLIGENCE
PhysStream: Streaming Physics-Grounded Video Generation with Structured Scene Memory and Fine-Grained Motion Control
Interactive control for video generation is moving from coarse prompts toward fine-grained, physically meaningful manipulation of dynamic scenes. Yet existing controllable methods either require the full control schedule before generation starts, or use pixel-space signals that dictate object positions rather than physical dynamics. To address these limitations, we propose PhysStream, an autoregressive model for physics-grounded image-to-video synthesis that incorporates structured scene memory---positional maps and object tracking maps derived online from previously generated frames---and sup
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-15T17:55:13.000Z
First collected: 2026-09-20T08:20:57.646Z. This is not the publication date.