Learning from Multi-domain Artistic Images for Arbitrary Style Transfer - researchr publication authors

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Zheng Xu 0002, Michael J. Wilber, Chen Fang, Aaron Hertzmann, Hailin Jin. Learning from Multi-domain Artistic Images for Arbitrary Style Transfer. In Craig S. Kaplan, Angus G. Forbes, Stephen DiVerdi, editors, Proceedings of the Joint Symposium on Computational Aesthetics and Sketch-Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering, Expressive 2019, Genoa, Italy, May 5-6, 2019. pages 21-31, Eurographics Association, 2019. [doi]

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