Parameter-Free Style Projection for Arbitrary Image Style Transfer

Author:

Huang Siyu1,Xiong Haoyi2,Wang Tianyang3,Wen Bihan4,Wang Qingzhong2,Chen Zeyu2,Huan Jun5,Dou Dejing2

Affiliation:

1. Harvard University,USA

2. Baidu Research,China

3. Austin Peay State University,USA

4. Nanyang Technological University,Singapore

5. Amazon,USA

Publisher

IEEE

Reference30 articles.

1. Learning Linear Transformations for Fast Image and Video Style Transfer

2. Semantic image synthesis with spatially-adaptive normalization;park;CVPR,2019

3. A Style-Based Generator Architecture for Generative Adversarial Networks

4. Universal style transfer via feature transforms;li;NIPS,2017

5. Order Statistics

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. StyleStegan: Leak-free Style Transfer Based on Feature Steganography;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

2. A Saliency-Aware Method for Arbitrary Style Transfer;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

3. Generating Artistic Images Via Few-Shot Style Transfer;2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2023-06-04

4. QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. Bridging the BCI illiteracy gap: a subject-to-subject semantic style transfer for EEG-based motor imagery classification;Frontiers in Human Neuroscience;2023-05-15

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