Text-to-image generation based on generative adversarial network

Text-to-image generation based on generative adversarial network

Generating images from text descriptions is an intersecting field between natural language processing and computer vision. This task generates an image that conforms to an input text description in semantic details. Generative Adversarial Networks (GANs), as one of the most popular generation method...

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Bibliographic Details
Main Author: Guo, Xiangzuo
Other Authors: Jiang Xudong
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:https://hdl.handle.net/10356/164293

Internet

https://hdl.handle.net/10356/164293

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