Arjovsky, M., Chintala, S., & Bottou, L. (2017). Wasserstein Generative Adversarial Networks. Proceedings of the 34th International Conference on Machine Learning, PMLR, 70:214-223.
Ban, S. N. (2022). Trends and Case Study of Beauty Tech Industry. Journal of K Beauty In Society, 2(3), 22-32.
Berthelot, D., Schumm, T., & Metz, L. (2017 BEGAN: Boundary Equilibrium Generative Adversarial Networks. arXiv preprint arXiv:1703.10717.
Byun, J. (2017). Design and Implementation of Image Recommender System using Personal Preference Image based on Deep Learning. Master’s Thesis, Sangmyung University, Seoul.
Choi, Y. J., Choi, M. J., Kim, M. Y., Ha, J. W., Kim, S. H., & Choo, J. G. pp 2018). StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR); pp 8789-8797.
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2020 Generative adversarial networks.
Communications of the ACM,
63(11), 139-144. doi:
10.1145/3422622.
Gu, Q., Wang, G., Chiu, M. T., Tai, Y. W., & Tang, C. K. pp 2019). Tang, Ladn: Local adversarial disentangling network for facial makeup and de-makeup. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV); pp 10480-10489. doi:
10.1109/ICCV.2019.01058.
Hwang, S. H., Lim, M. T., Hwang, H. T., & Lee, S. J. (2023). Development of a Web Service for Cosmetics Recommendation based on an Artificial Intelligence for User Personal Color Generation. Proceedings of the Journal of the Korea Society of Computer and Information, 31(1), 461-463.
Isola, P., Zhu, J. Y., Zhou, T., & Efros, A. A. pp 2017). Image-to-Image Translation with Conditional Adversarial Nets. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR); pp 1125-1134.
Jo, Y. J., Bae, K. M., & Park, J. Y. (2020 Research Trends of Generative Adversarial Networks and Image Generation and Translation.
Electronics and Telecommunications Trends,
35(4), 91-102. doi:
10.22648/ETRI.2020.J.350409.
Karras, T., Laine, S., & Aila, T. pp 2019). A Style-Based Generator Architecture for Generative Adversarial Networks. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR); pp 4401-4410.
Kim, S. Y., & Kim, H. T. (2022). Artificial intelligence(AI) Composition Technology Trends & Creation Platform.
Culture and Convergence,
44(6), 207-228.
Kim, T. S., Cha, M. S., Kim, H. S., Lee, J. K., & Kim, J. W. pp 2017). Learning to discover cross-domain relations with generative adversarial networks. In: Proceedings of the International Conference on Machine Learning; pp 161-202.
Ledig, C., Theis, L., Huszár, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., & Shi, W. pp 2017). Photo-Realistic Single Image Super-ResolutionUsing a Generative Adversarial Network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR); pp 4681-4690.
Lee, Y. (2017 The age of 4.0 industry, the ICT convergence in fashion industry.
Journal of the Korean Society Design Culture,
23(2), 497-507. doi:
10.18208/ksdc.2017.23.2.497.
Li, S., Xu, L. D., & Zhao, S. (2015 The Internet of Things: A Survey.
Information Systems Frontiers,
17:243-259. doi:
10.1007/s10796-014-9492-7.
Li, T., Qian, R., Dong, C., Liu, S., Yan, Q., Zhu, W., & Lin, L. (2018 BeautyGAN: Instance-Level Facial Makeup Transfer with Deep Generative Adversarial Network.
Proceedings of the 26th ACM International Conference,
26(1), 645-653. doi:
10.1145/3240508.3240618.
Lim, S. H. (2022). Makeup transfer using on facial segmentation loss function based BeautyGAN. Master’s Thesis, Kyonggi University, Gyeonggi-do.
Perera, C., Liu, C. H., Jayawardena, S., & Chen, M. (2013 A Survey on Internet of Things from Industrial Market Perspective.
IEEE Access,
2:1660-1679. doi:
10.1109/ACCESS.2015.2389854.
Rostamzadeh, N., Hosseini, S., Boquet, T., Stokowiec, W., Zhang, Y., Jauvin, C., & Pal, C. (2018 Fashion-gen: The generative fashion dataset and challenge. arXiv preprint arXiv:1806.08317.
Sun, Z., Liu, F., Liu, W., Xiong, S., & Liu, W. (2020 Local facial makeup transfer via disentangled representation.
Proceeding of the Asian Conference on Computer Vision, 459-473. doi:
10.1007/978-3-030-69538-5_28.
Tong, W. S., Tang, C. K., Brown, M. S., & Xu, Y. Q. pp 2007). Example-Based Cosmetic Transfer. In: 15th Pacific Conference on Computer Graphics and Applications (PG’07); doi:
10.1109/PG.2007.31.
Wang, T. C., Liu, M. Y., Zhu, J. Y., Tao, A., Kautz, J., & Catanzaro, B. pp 2018). High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR); pp 8798-8807.
Wei, Z., Sun, Y., Wang, J., Lin, H., & Liu, S. pp 2017). Learning adaptive receptive fields for deep image parsing network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR); pp 2434-2442.
Xu, L., Du, Y., & Zhang, Y. pp 2013). An automatic framework for example-based virtual makeup. In: IEEE International Conference on Image Processing; doi:
10.1109/ICIP.2013.6738660.
Zhao, J., Mathieu, M., & LeCun, Y. pp 2017). Energy-based generative adversarial networks. In: In 5th International Conference on Learning Representations, ICLR.
Zhu, J. Y., Park, T., Isola, P., & Efros, A. A. pp 2017). Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV); pp 2223-2232.