Attentional Generative Adversarial Networks With Representativeness and Diversity for Generating Text to Realistic Image
In recent years, with the emergence and rapid development of Generative Adversarial Networks (GANs), the generation of realistic images consistent with their semantics based on text description has become one of the most popular research directions in the field of computer vision. Although the idea...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8954667/ |