Style Transfer Based on VGG Network

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[21] Zhu J Y Park T, Isola P, et al. Unpaired image-to-image translation using cycle-consistent adversarial networks[C]//IEEE International Conference on Computer Vision, 2017: 2223–2232. ZhuJ Y ParkT IsolaP Unpaired image-to-image translation using cycle-consistent adversarial networks[C] IEEE International Conference on Computer Vision 2017 2223 2232 Search in Google Scholar

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[23] He, Kaiming, et al. Deep residual learning for image recognition. arXiv preprint arXiv:1512.03385(2015). HeKaiming Deep residual learning for image recognition arXiv preprint arXiv:1512.03385 2015 Search in Google Scholar

[24] He, Kaiming, and Jian Sun. Convolutional neural networks at constrained time cost. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015. HeKaiming JianSun Convolutional neural networks at constrained time cost Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2015 Search in Google Scholar

[25] HUANG X, BELONGIE S. Arbitrary style transferin real-time with adaptive instance normalization[C]//2017 IEEE International Conference on Computer Vision (ICCV). New York: IEEE Press, 2017:1510–1519. HUANGX BELONGIES Arbitrary style transferin real-time with adaptive instance normalization[C] 2017 IEEE International Conference on Computer Vision (ICCV) New York: IEEE Press 2017 1510 1519 Search in Google Scholar

[26] ULYANOV D, VEDALDI A, LEMPITSKY V. Improved texture networks: Maximizing quality and diversity in feed-forward stylization and texture synthesis[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017:6924–6932. ULYANOVD VEDALDIA LEMPITSKYV Improved texture networks: Maximizing quality and diversity in feed-forward stylization and texture synthesis[C] Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2017 6924 6932 Search in Google Scholar