Feature Consistency-Based Style Transfer for Landscape Images Using Dual-Channel Attention

Feature Consistency-Based Style Transfer for Landscape Images Using Dual-Channel Attention

With the rapid development of artificial intelligence technology, style transfer has become an important topic in current research. However, existing models are deficient in fusing content and style features, resulting in a large gap between the generated image and the target image. To solve this pr...

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Bibliographic Details
Main Authors: Qiang Zhang, Shuai Wang, Dong Cui
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
cross-attention mechanism
contrastive constraints
feature extraction
style transfer
Online Access:https://ieeexplore.ieee.org/document/10731683/
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https://ieeexplore.ieee.org/document/10731683/

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