PQSG is a hierarchical question-graph pipeline for fine-grained physical plausibility evaluation in text-to-video generation that achieves higher correlation with human judgments than prior methods on the FinePhyEval dataset.
arXiv preprint arXiv:2511.03997 , year=
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GEOPHYS defines five geometric properties of per-frame embeddings from image encoders that detect physical implausibility in videos with SOTA accuracy and serve as an efficient verifier.
A perspective article defining world models as finite-resource compression of physical state transitions and outlining a roadmap toward physical AGI via unified representations and interactive simulators.
PhysRAG curates 7K videos from WISA-80K, builds a physical video database, and injects knowledge via learnable queries into a diffusion model to reach SOTA visual quality and physical compliance on PhyGenBench and VBench.
citing papers explorer
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Physics Question Scene Graph: Fine-grained Evaluation of Physical Plausibility in Text-to-Video Generation
PQSG is a hierarchical question-graph pipeline for fine-grained physical plausibility evaluation in text-to-video generation that achieves higher correlation with human judgments than prior methods on the FinePhyEval dataset.
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GEOPHYS: The Geometry of Physical Plausibility
GEOPHYS defines five geometric properties of per-frame embeddings from image encoders that detect physical implausibility in videos with SOTA accuracy and serve as an efficient verifier.
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A Definition and Roadmap for World Models
A perspective article defining world models as finite-resource compression of physical state transitions and outlining a roadmap toward physical AGI via unified representations and interactive simulators.
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PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented Generation
PhysRAG curates 7K videos from WISA-80K, builds a physical video database, and injects knowledge via learnable queries into a diffusion model to reach SOTA visual quality and physical compliance on PhyGenBench and VBench.