Sora Generates Videos with Stunning Geometrical Consistency

• URL: http://arxiv.org/abs/2402.17403v1
• Date: Tue, 27 Feb 2024 10:49:05 GMT
• Title: Sora Generates Videos with Stunning Geometrical Consistency
• Authors: Xuanyi Li, Daquan Zhou, Chenxu Zhang, Shaodong Wei, Qibin Hou and Ming-Ming Cheng
• Abstract summary: We introduce a new benchmark that assesses the quality of the generated videos based on their adherence to real-world physics principles. We employ a method that transforms the generated videos into 3D models, leveraging the premise that the accuracy of 3D reconstruction is heavily contingent on the video quality.
• Score: 75.46675626542837
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The recently developed Sora model [1] has exhibited remarkable capabilities in video generation, sparking intense discussions regarding its ability to simulate real-world phenomena. Despite its growing popularity, there is a lack of established metrics to evaluate its fidelity to real-world physics quantitatively. In this paper, we introduce a new benchmark that assesses the quality of the generated videos based on their adherence to real-world physics principles. We employ a method that transforms the generated videos into 3D models, leveraging the premise that the accuracy of 3D reconstruction is heavily contingent on the video quality. From the perspective of 3D reconstruction, we use the fidelity of the geometric constraints satisfied by the constructed 3D models as a proxy to gauge the extent to which the generated videos conform to real-world physics rules. Project page: https://sora-geometrical-consistency.github.io/

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