Stacked generative adversarial networks for image compositing

Stacked generative adversarial networks for image compositing

Abstract Perfect image compositing can harmonize the appearance between the foreground and background effectively so that the composite result looks seamless and natural. However, the traditional convolutional neural network (CNN)-based methods often fail to yield highly realistic composite results...

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Bibliographic Details
Main Authors: Bing Yu, Youdong Ding, Zhifeng Xie, Dongjin Huang
Format: Article
Language:English
Published: SpringerOpen 2021-03-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Image compositing
Generative adversarial networks
Deep neural network
Online Access:https://doi.org/10.1186/s13640-021-00550-w

Internet

https://doi.org/10.1186/s13640-021-00550-w

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