TinyGAN: Distilling BigGAN for Conditional Image Generation

29 Sep 2020 Ting-Yun Chang Chi-Jen Lu

Generative Adversarial Networks (GANs) have become a powerful approach for generative image modeling. However, GANs are notorious for their training instability, especially on large-scale, complex datasets... (read more)

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