An LLM-guided, iterative prompt-refinement system that captions generated videos, detects physics and semantic mismatches, and rewrites prompts, improving physics-adherence scores on VideoPhy and PhyGenBench.
Video generation models as world simulators, 2024
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PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation
An LLM-guided, iterative prompt-refinement system that captions generated videos, detects physics and semantic mismatches, and rewrites prompts, improving physics-adherence scores on VideoPhy and PhyGenBench.