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Research on Image-to-Image Translation with Capsule Network
2019Deep learning technologies provide a unified translation framework for image-to-image translation. In particular, Convolution Neural Network (CNN) plays a decisive role because of its remarkable flexibility and performance. Recently, a new architecture called Capsule Network (CapsNet) was proposed to improve CNN.
Jian Ye, Qing Chang, Xiaotian Jia
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Contrastive Learning for Unsupervised Image-to-Image Translation
Applied Soft Computing, 2023Hanbit Lee +4 more
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Yingce Xia, Jiebo Luo, Zhibo Chen
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Yingce Xia, Jiebo Luo, Zhibo Chen
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SuperstarGAN: Generative Adversarial Networks for Image-to-Image Translation in Large-Scale Domains
Neural Networks, 2023Minhyeok Lee, Taesun Yeom
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Image to image translation method
2023KWONG TAK WU SAM, LIAO JING, HUANG JIALU
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Unpaired image-to-image translation of structural damage
Advanced Engineering Informatics, 2023Subin Varghese, Vedhus Hoskere
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Geometry-Aware Eye Image-To-Image Translation
2022 Symposium on Eye Tracking Research and Applications, 2022Conny Lu +6 more
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MedGAN: Medical Image Translation Using GANs
Computerized Medical Imaging and Graphics, 2020Marc Fischer +2 more
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Asynchronous Generative Adversarial Network for Asymmetric Unpaired Image-to-Image Translation
IEEE Transactions on Multimedia, 2023Yi Bin, Heng Tao Shen, Yang Yang
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