Reproducibility Companion Paper: Aesthetics-Driven Virtual Time-Lapse Photography Generation

In this paper, we replicate the experimental results from our previous work titled "Aesthetics-Driven Virtual Time-Lapse Photography Generation", which was presented at ACM Multimedia 2023. Our primary objective is to confirm the validity of our earlier findings and to provide a more comprehensive understanding of our software framework. We provide the necessary artifacts to reproduce the results from our prior research. This paper details the technical aspects of our package, including dataset preparation, source code structure, and the experimental environment. By utilizing these artifacts, we demonstrate the reproducibility of our results. We encourage others to use our software framework for purposes beyond reproducibility.