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Generative Adversarial Networks
Ecosystem Dynamics
Advanced GAN architectures for exploring adversarial problem spaces.
Overview
We have been working with GANs for almost a decade, work that includes our well established HyperGAN research platform. Many complex systems feature adversarial dynamics, and GANs are a natural fit for exploring these systems.
Key Highlights
Stable training dynamics
Controllable generation
High-fidelity synthesis
Privacy-preserving data augmentation