SOURCE-LINKED INTELLIGENCE
4DStreamCtrl: Interactive Video Generation with Online 4D Control
Generative video models now synthesize footage nearly indistinguishable from reality. Their promise as interactive tools hinges on fine-grained control of how objects and the camera move over time, yet each existing approach captures only part of this: camera-parameter methods steer the viewpoint but cannot move objects, 2D-trajectory methods act in the image plane and ignore depth and occlusion, and recent 3D methods add geometry but run only offline at a fixed length. In particular, none combines 3D-consistent control of both camera and objects with real-time, streaming generation. Here we s
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-26T07:49:39.000Z
First collected: 2026-09-21T09:22:01.459Z. This is not the publication date.