Artistic Style Transfer for Videos and Spherical Images

Author:

Ruder ManuelORCID,Dosovitskiy Alexey,Brox Thomas

Funder

Excellence Initiative of the German Federal and State Governments

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference29 articles.

1. Butler, D. J., Wulff, J., Stanley, G. B., & Black, M. J. (2012). A naturalistic open source movie for optical flow evaluation. In ECCV (pp. 611–625).

2. Chen, D., Liao, J., Yuan, L., Yu, N., & Hua, G. (2017). Coherent online video style transfer. In ICCV (pp. 1114–1123).

3. Collobert, R., Kavukcuoglu, K., & Farabet, C. (2011). Torch7: A matlab-like environment for machine learning. In BigLearn, NIPS Workshop.

4. Gatys, L. A., Ecker, A. S., & Bethge, M. (2015). Texture synthesis using convolutional neural networks. In NIPS (pp. 262–270).

5. Gatys, L. A., Ecker, A. S., & Bethge, M. (2016). Image style transfer using convolutional neural networks. In CVPR (pp. 2414–2423).

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