References
- X. Zheng, Y. Guo, H. Huang, Y. Li, and R. He, "A Survey to Deep Facial Attribute Analysis," International Journal of Computer Vision, pp. 1-33, Mar. 2020. DOI: 10.1007/s11263-020-01308-z
- T. J. Choi and H. M. Lee "An Algorithm for Converting 2D Face Image into 3D Model," Journal of The Korea Society of Computer and Information, Vol. 20, No. 4, pp. 41-48, Apr. 2015. DOI: 10.9708/jksci.2015.20.4.041
- S. C. Bae, Y. S. Lee, and S. W. Choi "Vision-based Authentication and Registration of Facial Identity in Hospital Information System," Journal of The Korea Society of Computer and Information, Vol. 24, No. 12, pp. 59-65, Dec. 2019. DOI: 10.9708/jksci.2019.24.12.059
- I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, "Generative Adversarial Nets," Advances in neural information processing systems, pp. 2672-2680, Dec. 2014.
- W. Shen and R. Liu, "Learning Residual Images for Face Attribute Manipulation," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4030-4038, Jul. 2017. DOI: 10.1109/CVPR.2017.135
- H. S. Yang, J. H. Han, Y. C. Cho, H. G. Lee, Y. Park, and Y. S. Moon, "Study on Performance Improvement of SAGAN using Mask," Proceeding of 2019 Korea Signal Processing Conference, pp. 2557-2560, Sep. 2019.
- G. Zhang, M. Kan, S. Shan, and X. Chen, "Generative Adversarial Network with Spatial Attention for Face Attribute Editing," Proceedings of the European Conference on Computer Vision (ECCV), pp. 417-432, Sep. 2018. DOI: 10.1007/978-3-030-01231-1_26
- Z. He, W. Zuo, and S. Shan, "AttGAN: Facial Attribute Editing by Only Changing What You Want." IEEE Transactions on Image Processing, Vol. 28, No. 11, pp. 5464-5478, May. 2019. DOI: 10.1109/TIP.2019.2916751
- H. S. Yang and Y. S. Moon, "Face Attribute Editing using AttGAN and Guide Mask," 2019 International Conference on Electronics, Information, and Communication (ICEIC), pp. 1-3, Jan. 2019. DOI: 10.23919/ELINFOCOM.2019. 8706471
- S. K. Woo, "Generation of Contrast Enhanced Computed Tomography Image using Deep Learning Network," Journal of The Korea Society of Computer and Information, Vol. 24, No. 3, pp. 41-47, Mar. 2019. DOI: 10.9708/jksci.2019.24.03.041
- A. Radford, L. Metz, and S. Chintala, "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks," arXiv preprint arXiv:1511.06434v2, pp. 1-16, Jan. 2016.
- M. Mirza and S. Osindero, "Conditional Generative Adversarial Nets," arXiv preprint arXiv:1411.1784, pp. 1-7, Nov. 2014.
- G. Perarnau, J. V. D. Weijer, B. Raduanu, and J. M. Alvarez, "Invertible Conditional GANs for Image Editing," NIPS 2016 Workshop on Adversarial Training, pp. 1-9, Dec. 2016.
- P. Isola, J. Y. Zhu, T. Zhou, and A. A. Efos, "Image-to-Image Translation with Conditional Adversarial Networks," Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1125-1134, Jul. 2017. DOI: 10.1109/CVPR.2017.632
- J. Y. Zhu, T. Park, P. Isola, and A. A. Efros, "Unpaired Image-To-Image Translation Using Cycle-Consistent Adversarial Networks," Proceedings of the IEEE international conference on computer vision, pp. 2223-2232, Oct. 2017. DOI: 10.1109/ICCV.2017.244
- 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," Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 8789-8797, Jun. 2018. DOI: 10.1109/CVPR.2018.00916
- Z. Liu, P. Luo, X. Wang, and X. Tang, "Deep Learning Face Attributes in the Wild," Proceedings of the IEEE International Conference on Computer Vision, pp. 3730-3738, Dec. 2015. DOI: 10.1109/ICCV.2015.425
- C. H. Lee, Z. Liu, L. Wu, and P. Luo, "MaskGAN: Towards Diverse and Interactive Facial Image Manipulation," arXiv preprint arXiv:1907.11922v2, pp. 1-20, Apr. 2020.