New framework may solve mode collapse in generative adversarial network
Generative adversarial networks (GANs) are widely used to synthesize intricate and realistic data by learning the distribution of authentic real samples. However, a significant challenge that GANs face is mode collapse, where ...
Apr 17, 2024
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