

Text To Video Generation
Overview :
This product is a tool for evaluating the quality of text-to-video generation. It introduces a new evaluation metric called Text-to-Video Score (T2VScore). This score integrates two key criteria: (1) Text-Video Alignment, which examines the faithfulness of the video in presenting a given textual description; (2) Video Quality, which assesses the overall production quality of the video. Furthermore, to evaluate the proposed metric and promote future improvements, the product provides the TVGE dataset, which collects human judgments on 2,543 text-to-video generated videos for these two criteria. Experiments on the TVGE dataset demonstrate that the proposed T2VScore exhibits superiority in providing a better evaluation metric for text-to-video generation.
Target Users :
A tool for evaluating the quality of text-to-video generation. Researchers and developers can use this tool to improve the quality of text-to-video generation and conduct evaluations and improvements.
Use Cases
Researchers use the text-to-video evaluation tool to assess their generation models.
Developers use the text-to-video evaluation tool to improve their text-to-video generation algorithms.
Data scientists use the text-to-video evaluation tool to assess the quality of generated videos.
Features
Evaluate the quality of text-to-video generation
Introduce the new evaluation metric T2VScore
Provide the TVGE dataset for evaluating and improving the metric
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