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Paperium
Paperium

Posted on • Originally published at paperium.net

PhysMaster: Mastering Physical Representation for Video Generation viaReinforcement Learning

PhysMaster: Teaching AI to Make Videos That Follow Real‑World Physics

Ever watched a video where a ball magically floats or a car slides uphill? PhysMaster is a new AI “coach” that stops those impossible scenes by teaching video‑making programs the rules of physics.
Imagine giving a child a single picture of a toy car on a ramp; the child instantly knows the car will roll down.
PhysMaster does the same: it looks at an image, learns where objects are and how they could interact, then guides the AI to create a video that moves just like the real world.
The secret sauce is a simple feedback loop—like a teacher rewarding the AI when it gets the motion right—so the system keeps improving.
This means future videos could show realistic crashes, natural weather, or even help robots predict what will happen next.
Scientists found that this plug‑in works across many scenarios, making AI videos not just pretty but believable.
Imagine a world where every digital scene respects the laws that govern our everyday life—because now, it can.
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PhysMaster: Mastering Physical Representation for Video Generation viaReinforcement Learning

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