Multi-scale Attention Enhancement for Arbitrary Style Transfer via Contrast Learning
Author:
Affiliation:
1. School of Artificial Intelligence and Computer Science, Jiangnan University, China
2. Jiangnan University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3594315.3594386
Reference45 articles.
1. ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
2. ComboGAN: Unrestrained Scalability for Image Domain Translation
3. S. Bunrit N. Kerdprasop and K. Kerdprasop. 2020. Improving the Representation of CNN Based Features by Autoencoder for a Task of Construction Material Image Classification. Engineering and Technology Publishing4 (2020). S. Bunrit N. Kerdprasop and K. Kerdprasop. 2020. Improving the Representation of CNN Based Features by Autoencoder for a Task of Construction Material Image Classification. Engineering and Technology Publishing4 (2020).
4. Artistic style transfer with internal-external learning and contrastive learning;Chen Haibo;Advances in Neural Information Processing Systems,2021
5. DualAST: Dual Style-Learning Networks for Artistic Style Transfer
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