Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications

Proceedings of the IEEE(2021)

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摘要
The generative adversarial network (GAN) framework has emerged as a powerful tool for various image and video synthesis tasks, allowing the synthesis of visual content in an unconditional or input-conditional manner. It has enabled the generation of high-resolution photorealistic images and videos, a task that was challenging or impossible with prior methods. It has also led to the creation of man...
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关键词
Gallium nitride,Generators,Training,Generative adversarial networks,Linear programming,Visualization,Training data
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