UMFA: a photorealistic style transfer method based on U-Net and multi-layer feature aggregation-Reference-Cited by-同舟云学术

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UMFA: a photorealistic style transfer method based on U-Net and multi-layer feature aggregation

Published:2021-09-28 Issue:05 Volume:30 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Rao Dongyu¹,Wu Xiao-Jun¹,Li Hui²,Kittler Josef³,Xu Tianyang¹

Affiliation:

1. Jiangnan University, School of Artificial Intelligence and Computer Science, Wuxi

2. Jiangnan University, Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computatio

3. University of Surrey, Centre for Vision, Speech, and Signal Processing, Guildford

Funder

National Natural Science Foundation of China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 4 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. Real-time deep neural network-based automatic bowel gas segmentation on X-ray images for particle beam treatment;Physical and Engineering Sciences in Medicine;2023-03-21

2. Low-Light Image Enhancement Based on U-Net and Haar Wavelet Pooling;MultiMedia Modeling;2023

3. Multiscale image dehazing network based on spatially weighted sparse representation;Journal of Electronic Imaging;2022-11-11

4. Automatic reconstruction method of 3D geological models based on deep convolutional generative adversarial networks;Computational Geosciences;2022-05-10

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