Supplementary materials - STB-VMM: Swin Transformer Based Video Motion Magnification

Reference benchmark videos showcased in STB-VMM: Swin Transformer Based Video Motion Magnification. This dataset contains the original benchmarks as well as the results obtained using STB-VMM and learning-based video motion magnification (LB-VMM) [10.48550/arXiv.1804.02684]. These videos serve as a qualitative comparison between both learning based methods' image quality. The dataset is intended to help researchers and practitioners in the field of video motion magnification to evaluate and compare the performance of different methods.

The code for STB-VMM is open source and available at: https://github.com/RLado/STB-VMM

本数据集展示了在STB-VMM（基于Swin Transformer的视频运动放大）中展示的参考基准视频。该数据集包含原始基准以及使用STB-VMM和学习型视频运动放大（LB-VMM）[10.48550/arXiv.1804.02684]获得的结果。这些视频作为两种基于学习的图像质量定性比较的依据。本数据集旨在帮助视频运动放大领域的学者和实践者评估和比较不同方法的性能。STB-VMM的代码是开源的，可在以下链接获取：https://github.com/RLado/STB-VMM