GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

GAN的TTUR训练方法和FID评估指标.

Which Training Methods for GANs do actually Converge?

使用Dirac GAN分析GAN的收敛性态.

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks

LAPGAN：使用拉普拉斯金字塔对抗网络生成高分辨率图像.

Unsupervised Image-to-Image Translation Networks

UNIT：无监督图像到图像翻译网络.

StarGAN v2: Diverse Image Synthesis for Multiple Domains

StarGAN v2：多领域多样性图像合成.

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

StarGAN：统一的多领域图像翻译框架.