Acknowledgement
이 논문은 2022년도 정부(과학기술정보통신부)의 재원으로 정보통신기획평가원의 지원(2020-0-01389, 인공지능융합연구센터지원(인하대학교))과 2022년도 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임 (NRF-2019R1A2C1006706).
References
- Mark-Vu, https://www.psiplus.co.kr/page/?M2_IDX=8160 (accessed Mar. 15, 2022).
- I. J. Goodfellow, J. P. Abadie, M. Mirza, B. Xu, D. W. Farley, S. Ozair, A. Courville, and Y. Bengio, "Generative adversarial nets," Proc. Advances in Neural Information Processing Systems, December 2014.
- M. Mirza and S. Osindero, "Conditional generative adversarial nets," arXiv preprint arXiv:1411.1784, 2014.
- Y. Choi, M. Choi, M. Kim, J. -W. Ha, S. Kim, and J. Choo, "StarGAN: Unified generative adversarial networks for multi-domain image-to-image translation," Proc. IEEE Conference on Computer Vision and Pattern Recognition, June 2018. doi: https://doi.org/10.1109/cvpr.2018.00916
- Y. Shen, J. Gu, X. Tang, and B. Zhou, "Interpreting the latent space of GANs for semantic face editing," Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 2020. doi: https://doi.org/10.1109/cvpr42600.2020.00926
- E. Richardson, Y. Alaluf, O. Patashnik, Y. Nitzan, Y. Azar, S. Shapiro, and D. Cohen-Or, "Encoding in style: A StyleGAN encoder for image-to-image translation," Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 2021. doi: https://doi.org/10.1109/cvpr46437.2021.00232
- Z. Huang, S. Chen, J. Zhang, and H. Shan, "PFA-GAN: Progressive face aging with generative adversarial network," IEEE Trans. on Information Forensics and Security, Vol. 16, pp. 2031-2045, December 2020. doi: https://doi.org/10.1109/tifs.2020.3047753
- T. -C. Wang, M. -Y. Liu, J. -Y. Zhu, A. Tao, J. Kautz, and B. Catanzaro, "High-resolution image synthesis and semantic manipulation with conditional GANs," Proc. IEEE Conference on Computer Vision and Pattern Recognition, June 2018. doi: https://doi.org/10.1109/cvpr.2018.00917
- P. Isola, J. -Y. Zhu, T. Zhou, and A. A. Efros, "Image-to-image translation with conditional adversarial networks," Proc. IEEE Conference on Computer Vision and Pattern Recognition, June 2017. doi: https://doi.org/10.1109/cvpr.2017.632
- U. Demir and G. Unal, "Patch-based image inpainting with generative adversarial networks," arXiv preprint arXiv:1803.07422, 2018.
- J. -Y. Zhu, T. Park, P. Isola, and A. A. Efros, "Unpaired image-to-image translation using cycle-consistent adversarial networks," Proc. IEEE International Conference on Computer Vision, October 2017. doi: https://doi.org/10.1109/iccv.2017.244
- T. Karras, T. Alia, S. Laine, and J. Lehtinen, "Progressive growing of GANs for improved quality, stability, and variation," Proc. International Conference on Learning Representations, April 2018.
- T. Karras, S. Lanine, M. Aittala, J. Hellsten, J. Lehtinen, and T. Aila, "Analyzing and improving the image quality of StyleGAN," Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 2020. doi: https://doi.org/10.1109/cvpr42600.2020.00813
- T. Karras, M. Aittala, J. Hellsten, S. Lanine, J. Lehtinen, and T. Aila, "Training generative adversarial networks with limited data," Proc. Advances in Neural Information Processing Systems, December 2020.
- G. Perarnau, J. van de Weijer, B. Raducanu, and J. M. Alvarez, "Invertible conditional GANs for image editing," arXiv preprint arXiv:1611.06355, 2016.
- Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition," Proc. IEEE, Vol. 86, No. 11, pp. 2278-2324, November 1998. doi: https://doi.org/10.1109/5.726791
- Z. Liu, P. Luo, X. Wang, and X. Tang, "Deep learning face attributes in the wild," Proc. IEEE International Conference on Computer Vision, December 2015. doi: https://doi.org/10.1109/iccv.2015.425
- Z. He, W. Zuo, M. Kan, S. Shan, and X. Chen, "AttGAN: Facial attribute editing by only changing what you want," IEEE Trans. on Image Processing, Vol. 28, No. 11, pp. 5464-5478, May 2019. doi: https://doi.org/10.1109/tip.2019.2916751
- C. -H. Lee, Z. Liu, L. Wu, and P. Luo, "MaskGAN: Towards diverse and interactive facial image manipulation," Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 2020. doi: https://doi.org/10.1109/cvpr42600.2020.00559
- C. Yu, J. Wang, C. Peng, C. Gao, G. Yu, and N. Sang, "Bisenet: Bilateral segmentation network for real-time semantic segmentation," Proc. European Conference on Computer Vision, September 2018. doi: https://doi.org/10.1007/978-3-030-01261-8_20