Ours
收藏arXiv2024-03-26 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/2403.17128v1
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资源简介：
本研究提出的数据集名为'Ours'，由达姆施塔特工业大学和黑森人工智能研究中心创建。该数据集包含666个样本，用于视频帧插值的基准测试。数据集通过合成数据创建，确保了线性运动假设的遵守，并允许对插值质量进行深入分析，包括运动幅度、角度和光度一致性。此数据集特别设计用于评估计算效率，并通过提交网站提供一致的错误度量，从而促进不同论文间的公平比较。
The dataset proposed in this study is named 'Ours', which was created by Technische Universität Darmstadt and the Hessian Center for Artificial Intelligence. Comprising 666 samples, it serves as a benchmark for video frame interpolation. Constructed from synthetic data, this dataset strictly adheres to the linear motion assumption, enabling in-depth analysis of interpolation quality including motion magnitude, angle, and photometric consistency. Specifically designed to evaluate computational efficiency, the dataset provides consistent error metrics via a submission website, thus facilitating fair comparisons across different research papers.
提供机构：
达姆施塔特工业大学, 黑森人工智能研究中心
创建时间：
2024-03-26
