What is it about?
This paper proposes a Bidirectional Generative Adversarial Network (BiGAN) to generate fake images for Motorbike Generator Challenge. Experiment results, Motorbike Generator task demonstrate that this method not only stabilizes GAN training but also achieves significant improvements over several state-of-the-art GAN methods.
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Why is it important?
Not only stabilizes GAN training but also achieves significant improvements over several state-of-the-art GAN methods
Read the Original
This page is a summary of: Motorbike Generator Using Bidirectional Generative Adversarial Networks, August 2020, ACM (Association for Computing Machinery),
DOI: 10.1145/3418994.3418995.
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