StyleGAN-2

StyleGAN-2 is a generative adversarial network (GAN) architecture used for generating high-quality images and serves as a benchmark for evaluating compression techniques in generative models.

Papers using StyleGAN-2 (2)

Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization2024Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement2024