DLP-GAN: learning to draw modern Chinese landscape photos with generative adversarial network
Author:
Funder
the National Key Research and Development Program of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-09345-8.pdf
Reference49 articles.
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3. Gatys LA, Ecker AS, Bethge M (2016) Image style transfer using convolutional neural networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2414–2423 . https://doi.org/10.1109/cvpr.2016.265
4. Johnson J, Alahi A, Fei-Fei L (2016) Perceptual losses for real-time style transfer and super-resolution. In: European conference on computer vision, pp 694–711. https://doi.org/10.1007/978-3-319-46475-6_43. Springer
5. Zhu JY, Park T, Isola P, Efros AA (2017) Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE international conference on computer vision, pp 2223–2232 . https://doi.org/10.1109/iccv.2017.244
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