DragGAN: Interactive Point-Based Image Manipulation on Generative Adversarial Networks
Users have increasingly demanded greater control over generated images, including flexibility, precision, and versatility as a result of the development of Generative Adversarial Networks (GANs). This post introduces DragGAN, a picture-enhancing method that uses engaging dragging to obtain exact con...
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Main Author: | Wu Muran |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2025-01-01
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Series: | ITM Web of Conferences |
Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_04020.pdf |
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