Handwriting Digit Generation Based on GAN Model-Reference-Cited by-同舟云学术

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Handwriting Digit Generation Based on GAN Model

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 3rd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)
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Author:

Song Mingyang¹,Su Qisheng²,Zhang Muyang³

Affiliation:

1. School of Microelectronics Southern University of Science and Technology,Shenzhen,China

2. School of Information Science and Technology University of Science and Technology of China,Hefei,China

3. Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9730939/9730940/09730969.pdf?arnumber=9730969

Reference10 articles.

1. AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

2. Unconstrained Offline Handwritten Word Recognition by Position Embedding Integrated ResNets Model

3. Artistic glyph image synthesis via one-stage few-shot learning

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Conditional DCGAN for Targeted Generation of MNIST Handwritten Digits;Springer Proceedings in Mathematics & Statistics;2024

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