AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer

Author:

Liu Songhua1,Lin Tianwei1,He Dongliang1,Li Fu1,Wang Meiling1,Li Xin1,Sun Zhengxing2,Li Qian3,Ding Errui1

Affiliation:

1. Baidu Inc.,Department of Computer Vision Technology (VIS)

2. Nanjing University

3. National University of Defense Technology

Publisher

IEEE

Reference44 articles.

1. Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer

2. Consistent Video Style Transfer via Relaxation and Regularization

3. Very deep convolutional networks for large-scale image recognition;simonyan;International Conference on Learning Representations,2015

4. Avatarnet: Multi-scale zero-shot style transfer by feature decoration;sheng;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2018

5. Artistic Style Transfer for Videos and Spherical Images

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