Vector quantization: Difference between revisions

Revision as of 06:06, 19 September 2020

Revision as of 09:44, 30 September 2020

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=== Generative Adversarial Networks (GAN) ===

VQ has been used to quantize thea feature representation layer in the discriminator of GANs. The feature quantization (FQ) technique performs implicit feature matching<ref>Feature Quantization Improves GAN Training https://arxiv.org/abs/2004.02088</ref>. It improves the GAN training, and yieldyields an improved performance on a variety of popular GAN models: BigGAN for image generation, StyleGAN for face synthesis, and U-GAT-IT for unsupervised image-to-image translation.

== See also ==