ArCycleGAN: Improved CycleGAN for Style Transferring of Fruit Images

CycleGAN can realize image translation and style transferring among unpaired images. However, it will easily generate inappropriate image results when the number and shapes of objects in the style offering image and the source image are greatly different. The paper proposed an improved network, name...

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Bibliographic Details
Main Authors: Hongqian Chen, Mengxi Guan, Hui Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9383229/