Deep Learning for Anime Style Transfer-Reference-Cited by-同舟云学术

Deep Learning for Anime Style Transfer

Published:2019-11-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 3rd International Conference on Advances in Image Processing
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Author:

Way Der-Lor¹,Chang Wei-Cheng²,Shih Zen-Chung²

Affiliation:

1. Department of New Media Art, Taipei National University of the Arts, Taipei, Taiwan

2. Institute of Multimedia Engineering, National Chiao Tung University, Hsinchu, Taiwan

Funder

the Ministry of Science and Technology of the Republic of China, Taiwan

Publisher

ACM

Reference20 articles.

1. Gatys L. A. A. S. Ecker and M. Bethge. A neural algorithm of artistic style. arXiv preprint arXiv:1508.06576 2015. Gatys L. A. A. S. Ecker and M. Bethge. A neural algorithm of artistic style. arXiv preprint arXiv:1508.06576 2015.

2. Fully convolutional networks for semantic segmentation

3. Controlling Perceptual Factors in Neural Style Transfer

4. Bako S. Vogels T. McWilliams B. Meyer M. Novák J. Harvill A. Sen P. DeRose T. and Rousselle F. 2017. Kernel-predicting convolutional networks for denoising Monte Carlo renderings. ACM Transactions on Graphics (TOG) 36(4):97. Bako S. Vogels T. McWilliams B. Meyer M. Novák J. Harvill A. Sen P. DeRose T. and Rousselle F. 2017. Kernel-predicting convolutional networks for denoising Monte Carlo renderings. ACM Transactions on Graphics (TOG) 36(4):97.

5. OctNet: Learning Deep 3D Representations at High Resolutions

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