## 5 Conclusions  
In this paper, we present a new conditional GAN sketch-to-photo translation model for the task of generating images of Indonesian face photos. We developed our model with pix2 pix as a baseline, added with total variation (TV) loss and a color correction stage. The TV loss gives a smooth effect in a way that makes the resulting images more similar to the ground truth. The color correction using guide images and gamma alteration aims to reconstruct true skin tones. The experiment shows that our proposed method successfully outperformed the conventional methods. Our contribution lies in improving the baseline's performance, which includes the avoidance of bias towards the Indonesian face dataset, the reduction of artifacts, and the production of uneven and similar skin tones, thereby resulting in more plausible images. Conceptualization, M.R. and N.F. ; methodology, M.R. and N.F. ; software, N.F. ; validation, N.F., M.R. and M.O. ; formal analysis, M.R. ; investigation, M.R. and M.O. ; resources, M.R. ; data curation, N.F. ; writing--original draft preparation, M.R. and N.F. ; writing--review and editing, M.R. and M.O. ; visualization, N.F. ; supervision, M.O. ; project administration, M.R. ; funding acquisition, M.R. All authors have read and agreed to the published version of the manuscript. This research was funded by Universitas Indonesia through Hibah Publikasi Artikel di Jurnal International Kuartil Q1 dan Q2 (Q1Q2) research grant, under contract number NKB-0309/UN2.R3.1/HKP.05.00/2019. * [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Scribbler: Controlling Deep Image Synthesis with Sketch and Color. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA, 21-26 July 2017; pp. 6836-6845. [CrossRef]
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