JOURNAL ARTICLE

Motorbike Generator Using Bidirectional Generative Adversarial Networks

Abstract

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.

Keywords:
Generator (circuit theory) Adversarial system Generative grammar Computer science Task (project management) Generative adversarial network State (computer science) Artificial intelligence Computer engineering Theoretical computer science Algorithm Image (mathematics) Engineering Systems engineering Power (physics)

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Citation History

Topics

Generative Adversarial Networks and Image Synthesis
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Digital Media Forensic Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Adversarial Robustness in Machine Learning
Physical Sciences →  Computer Science →  Artificial Intelligence
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