SOURCE-LINKED INTELLIGENCE
PhysFlow: Physics-Aware Optical Flow for Motion Controllable Video Generation
Video generation models have recently attracted substantial attention for their ability to generate visually compelling videos, yet ensuring physically consistent and plausible dynamics still remains a fundamental challenge, driving a growing line of research on physical realism in video generation. To address this challenge, motivated by the fact that physical regularities are primarily encoded in motion patterns, we propose PhysFlow, a novel two-stage framework for improving the physical plausibility of generated videos by decomposing video generation into motion-aware optical flow generatio
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- arXiv · AI, language, vision and robotics · 2026-09-08T03:57:21.000Z
First collected: 2026-09-20T20:22:01.598Z. This is not the publication date.