Reproducibility Companion Paper: Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies

Anonymous

Keywords: Fine grained semantic parsing, Colorization, HistoryNet, MHMD, Reproducibility

TL;DR: Fine grained semantic parsing, Colorization, HistoryNet, MHMD, Reproducibility

Abstract: In this paper we reproduce experimental results presented in our earlier work titled "Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies" that was presented in the course of the 29th ACM International Conference on Multimedia. The paper aims at verifying the soundness of our prior results and helping others understand our software framework. We present artifacts that help reproduce results that were included in our earlier work. Specifically, this paper contains the technical details of the package, including dataset preparation, source code structure and experimental environment. Using the artifacts we show that our results are reproducible. We invite everyone to use our software framework going beyond reproducibility efforts.