Illusion or Integrity? Geometrical Consistency Metric for AIGC Video Quality Evaluation
Recently, AI-driven video generation has attracted considerable attention. This surge increases the demand for reliable video quality assessment (VQA) metrics to evaluate AI-generated content (AIGC) videos and guide model optimization. Existing studies assess video quality through visual harmony, video-text consistency, and domain-specific alignment, yet lack quantitative metrics for measuring fidelity to physical laws. To address this limitation, we present a novel benchmark that evaluates the
Record details
Published: 10 August 2026
Source: arXiv
Category: Research
Topics: Safety & alignment
Retrieved: 11 August 2026
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How to cite this record
ethics.ai (10 August 2026), “Illusion or Integrity? Geometrical Consistency Metric for AIGC Video Quality Evaluation,” evidence record 18002, https://ethics.ai/record/18002 (originally published by arXiv).
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