Generated Video Clips
收藏arXiv2025-09-30 收录
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资源简介：
该数据集包含了500个视频片段，这些片段是通过所提出的零样本视频采样算法（$\mathcal{ZS},^2$）以及其他扩散模型生成的，用于进行对比分析。此外，该数据集还作为基准，用于评估$\mathcal{ZS},^2$算法相较于其他方法，如Text2Video-Zero和DDIM的性能。数据集从100个提示生成了500个视频片段，并包括了如CLIP分数等定量评价指标。该数据集的任务是零样本视频生成。
This dataset contains 500 video clips generated by the proposed zero-shot video sampling algorithm ($mathcal{ZS}^2$) and other diffusion models for comparative analysis. Additionally, it serves as a benchmark for evaluating the performance of the $mathcal{ZS}^2$ algorithm against other methods such as Text2Video-Zero and DDIM. A total of 500 video clips are generated from 100 prompts, and the dataset includes quantitative evaluation metrics such as CLIP scores. The task targeted by this dataset is zero-shot video generation.
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