Paper
12 September 2024 Study on text-to-image generation method based on deep learning
Ping Zhong, Ji Zhao
Author Affiliations +
Proceedings Volume 13256, Fourth International Conference on Computer Vision and Pattern Analysis (ICCPA 2024); 132560R (2024) https://doi.org/10.1117/12.3037864
Event: Fourth International Conference on Computer Vision and Pattern Analysis (ICCPA 2024), 2024, Anshan, China
Abstract
With the continuous advancement of deep learning technology, text-generated images have emerged as a prominent research area. This paper proposes a deep learning-based approach for text image generation, utilizing a generative adversarial network (GAN) model to effectively convert textual descriptions into corresponding visual representations. Specifically, this study introduces a text-image fusion module that comprehensively integrates global and local features, ensuring the coherence of generated images. Experimental validation and comparison with other prevalent methods substantiate the exceptional performance, practicality, and potential applications of the proposed methodology.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Ping Zhong and Ji Zhao "Study on text-to-image generation method based on deep learning", Proc. SPIE 13256, Fourth International Conference on Computer Vision and Pattern Analysis (ICCPA 2024), 132560R (12 September 2024); https://doi.org/10.1117/12.3037864
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KEYWORDS
Image fusion

Feature fusion

Deep learning

Education and training

Gallium nitride

Image quality

Data modeling

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