Author:
Yang Gaoming,Li Changgeng,Zhang Ji
Funder
Anhui Natural Science Foundation of China
Academic Funding Project for Top Talents in University Disciplines
Medical Special Cultivation Project of Anhui University of Science and Technology
Anhui Provincial Higher Education Institutions Scientific Research Project
Publisher
Springer Science and Business Media LLC
Reference39 articles.
1. Gatys, L.A., Ecker, A.S., Bethge, M.: Texture synthesis using convolutional neural networks. In: Advances in Neural Information Processing Systems, vol. 28, pp. 262–270 (2015). https://proceedings.neurips.cc/paper/2015/hash/a5e00132373a7031000fd987a3c9f87b-Abstract.html
2. Fu, T., Wang, X.E., Wang, W.Y.: Language-driven artistic style transfer. In: European Conference on Computer Vision, vol. 13696, pp. 717–734 (2022). Springer. https://doi.org/10.1007/978-3-031-20059-5_41
3. Kwon, G., Ye, J.C.: CLIPstyler: image style transfer with a single text condition. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 18041–18050 (2022). IEEE. https://doi.org/10.1109/CVPR52688.2022.01753
4. Gal, R., Patashnik, O., Maron, H., Bermano, A.H., Chechik, G., Cohen-Or, D.: StyleGAN-NADA: CLIP-guided domain adaptation of image generators. ACM Trans. Graph. 41(4), 1–13 (2022). https://doi.org/10.1145/3528223.3530164
5. Patashnik, O., Wu, Z., Shechtman, E., Cohen-Or, D., Lischinski, D.: StyleCLIP: text-driven manipulation of StyleGAN imagery. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 2065–2074 (2021). IEEE. https://doi.org/10.1109/ICCV48922.2021.00209