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GeoT2V-Bench Evaluates 3D Consistency in Text-to-Video Models

GeoT2V-Bench is a new benchmark designed to assess 3D consistency in camera-prompted text-to-video models by using 3D reconstruction techniques. It ensures that generated video frames provide coherent multi-view evidence of a single static 3D scene, beyond just visual plausibility.

Topic: AI Video Source: arXiv · arxiv.org Published 2026-06-23 17:12 UTC Fetched 2026-06-24 05:18 UTC

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As text-to-video models increasingly simulate virtual camera movements, verifying 3D consistency is crucial for realistic and reliable outputs. GeoT2V-Bench offers a diagnostic tool to improve and standardize evaluation of these models' spatial coherence.

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Score 76 Source Type arxiv Reposts 0 Topic Quality 55

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