O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

O-GAN：把GAN的判别器修改为编码器.

Alias-Free Generative Adversarial Networks

StyleGAN3：无混叠生成对抗网络.

Semi-Supervised Learning with Generative Adversarial Networks

通过生成对抗网络进行半监督学习.

ClusterGAN : Latent Space Clustering in Generative Adversarial Networks

ClusterGAN：生成对抗网络的隐空间聚类.

Deep Symbolic Regression for Recurrent Sequences

递归序列的深度符号回归.

Training Generative Adversarial Networks with Limited Data

使用有限数据训练生成对抗网络.