研究生: |
張明山 Richardo Tiono |
---|---|
論文名稱: |
Original Face Color Recovery via Adversarial Network Original Face Color Recovery via Adversarial Network |
指導教授: |
姚智原
Chih-Yuan Yao |
口試委員: |
賴祐吉
Yu-Chi Lai 朱宏國 Hung-Kuo Chu |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 資訊工程系 Department of Computer Science and Information Engineering |
論文出版年: | 2020 |
畢業學年度: | 108 |
語文別: | 英文 |
論文頁數: | 47 |
中文關鍵詞: | Machine Learning 、Face Reconstruction 、Generative Adversarial Network 、Deep Learning 、Image to Image Translation |
外文關鍵詞: | Machine Learning, Face Reconstruction, Generative Adversarial Network, Deep Learning, Image to Image Translation |
相關次數: | 點閱:249 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
[1] Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros. Image-to-image
translation with conditional adversarial networks. In 2017 IEEE Conference on
Computer Vision and Pattern Recognition (CVPR), pages 5967{5976, 2017.
[2] Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A. Efros. Unpaired image-
to-image translation using cycle-consistent adversarial networks. In 2017 IEEE
International Conference on Computer Vision (ICCV), pages 2242{2251, 2017.
[3] Yunjey Choi, Min-Je Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and
Jaegul Choo. Stargan: Unied generative adversarial networks for multi-domain
image-to-image translation. CoRR, abs/1711.09020, 2017.
[4] Soumyadip Sengupta, Angjoo Kanazawa, Carlos Domingo Castillo, and
David W. Jacobs. Sfsnet : Learning shape, re
ectance and illuminance of
faces in the wild. CoRR, abs/1712.01261, 2017.
[5] Paul Gafton and Erick Maraz. 2d image relighting with image-to-image trans-
lation. 06 2020.
[6] Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-
Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative ad-
versarial nets. In Proceedings of the 27th International Conference on Neural
Information Processing Systems - Volume 2, NIPS'14, pages 2672{2680, 2014.
[7] Alec Radford, Luke Metz, and Soumith Chintala. Unsupervised representation
learning with deep convolutional generative adversarial networks. In Interna-
tional Conference on Learning Representations (ICLR), 2016.
[8] Mehdi Mirza and Simon Osindero. Conditional generative adversarial nets.
arXiv preprint, arXiv:1411.1784, 2014.
[9] Ishaan Gulrajani, Faruk Ahmed, Martn Arjovsky, Vincent Dumoulin, and
Aaron C. Courville. Improved training of wasserstein gans. CoRR,
abs/1704.00028, 2017.
[10] Aaron Hertzmann, Charles E. Jacobs, Nuria Oliver, Brian Curless, and
David H. Salesin. Image analogies. In SIGGRAPH '01: Proceedings of the
28th annual conference on Computer graphics and interactive techniques, pages
327{340, New York, NY, USA, 2001. ACM Press.
[11] Olaf Ronneberger, Philipp Fischer, and Thomas Brox. U-net: Convolutional
networks for biomedical image segmentation. CoRR, abs/1505.04597, 2015.
[12] Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and
Jaegul Choo. Stargan: Unied generative adversarial networks for multi-domain
image-to-image translation. In The IEEE Conference on Computer Vision and
Pattern Recognition (CVPR), June 2018.
[13] Hang Zhao, Orazio Gallo, Iuri Frosio, and Jan Kautz. Loss functions for neural
networks for image processing. CoRR, abs/1511.08861, 2015.
[14] Justin Johnson, Alexandre Alahi, and Fei-Fei Li. Perceptual losses for real-time
style transfer and super-resolution. CoRR, abs/1603.08155, 2016.
[15] Karen Simonyan and Andrew Zisserman. Very deep convolutional networks for
large-scale image recognition. In Yoshua Bengio and Yann LeCun, editors, 3rd
International Conference on Learning Representations, ICLR 2015, San Diego,
CA, USA, May 7-9, 2015, Conference Track Proceedings, 2015.
[16] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. Deep residual
learning for image recognition. CoRR, abs/1512.03385, 2015.
[17] V. OLIVEIRA and Aura Conci. Skin detection using hsv color space. 01 2009.
[18] Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, and Xilin Chen.
Arbitrary facial attribute editing: Only change what you want. CoRR,
abs/1711.10678, 2017.
[19] Jianfu Zhang, Yuanyuan Huang, Yaoyi Li, Weijie Zhao, and Liqing Zhang.
Multi-attribute transfer via disentangled representation. AAAI, 2019.
[20] Thomas Nestmeyer, Iain A. Matthews, Jean-Francois Lalonde, and Andreas M.
Lehrmann. Structural decompositions for end-to-end relighting. CoRR,
abs/1906.03355, 2019.
[21] Hao Zhou, Sunil Hadap, Kalyan Sunkavalli, and David W. Jacobs. Deep single-
image portrait relighting. In Proceedings of the IEEE/CVF International Con-
ference on Computer Vision (ICCV), October 2019.