Enhancing fine-detail image synthesis from text descriptions by text aggregation and connection fusion module
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Published:2024-03
Issue:
Volume:122
Page:117099
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ISSN:0923-5965
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Container-title:Signal Processing: Image Communication
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language:en
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Short-container-title:Signal Processing: Image Communication
Author:
Zhou HuapingORCID, Wu TaoORCID, Ye Senmao, Qin Xinru, Sun KeleiORCID
Reference53 articles.
1. Wentong Liao, Kai Hu, Michael Ying Yang, Bodo Rosenhahn, Text to image generation with semantic-spatial aware gan, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 18187–18196. 2. Recurrent affine transformation for text-to-image synthesis;Ye,2022 3. Ming Tao, Hao Tang, Fei Wu, Xiao-Yuan Jing, Bing-Kun Bao, Changsheng Xu, DF-GAN: A simple and effective baseline for text-to-image synthesis, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 16515–16525. 4. DiverGAN: An efficient and effective single-stage framework for diverse text-to-image generation;Zhang;Neurocomputing,2022 5. Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen, DAE-GAN: Dynamic aspect-aware gan for text-to-image synthesis, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021, pp. 13960–13969.
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