A knowledge-graph benchmark (OmniPhys, 1,551 prompts, 14 physics knowledge points) and a batch-feedback prompt optimizer (OmniPrompt) improve measured physical consistency of text-to-image models by 0.01–0.03 Joint Score points.
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OmniPhys: Knowledge-Graph-Driven Benchmarking and Collective Optimization for Physical Commonsense in Text-to-Image Generation
A knowledge-graph benchmark (OmniPhys, 1,551 prompts, 14 physics knowledge points) and a batch-feedback prompt optimizer (OmniPrompt) improve measured physical consistency of text-to-image models by 0.01–0.03 Joint Score points.