What question did this study set out to answer?

To develop a dual visual attention framework that mitigates structural distortion and semantic inconsistency during complex image style transfer.

August 16, 2026Advanced ElectromagneticsOpen Access

Art Painting Style Transfer Algorithm Based on Deep Learning and Visual Attention Mechanism

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Authors

CDC. T. Dai XZX. ZhouCollege of Tourism

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Implication

Experimental study demonstrates superior structural preservation and style fidelity across complex images, highlighting robust semantic fusion for visual perception systems.

Key Points

To develop a dual visual attention framework that mitigates structural distortion and semantic inconsistency during complex image style transfer.
Extracted hierarchical semantic features using a pre-trained VGG-19 convolutional neural network.
Applied a spatial attention module for foreground structural preservation and a channel attention module to dynamically select discriminative style representations.
Collaboratively fused weighted features using adaptive instance normalization and optimized an end-to-end decoder with content, style, and region consistency loss functions.
Achieved superior structural similarity, semantic preservation, and style fidelity compared to representative baseline algorithms.
Maintained a structural similarity index (SSIM) above 0.85 in complex scenarios while significantly reducing visual distortion.

Cite This Study

Dai et al. (2026) studied this question.

synapsesocial.com/papers/6a8179eff2fb91fc834ad66c https://doi.org/10.7716/aem.v15i3.3418

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Implication

Experimental study demonstrates superior structural preservation and style fidelity across complex images, highlighting robust semantic fusion for visual perception systems.

Art Painting Style Transfer Algorithm Based on Deep Learning and Visual Attention Mechanism

Discussion

Member takes

Implication

Key Points

Cite This Study

Art Painting Style Transfer Algorithm Based on Deep Learning and Visual Attention Mechanism

Discussion

Member takes

Implication

Key Points

Cite This Study

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