目前最新的GAN论文包括：
BigGAN: Large Scale GAN Training for High Fidelity Natural Image Synthesis
StyleGAN2: Analyzing and Improving the Image Quality of StyleGAN
GAN Compression: Efficient Architectures for Interactive Conditional GANs
AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks
Learning to Learn from Noisy Labels by Regularized Estimation of Annotator Confusion
Semi-Supervised Learning with Stochastic Latent Variable Models
HiDDeN: Hierarchical Deep Density Estimation with Normalizing Flows
SEGAN: Speech Enhancement Generative Adversarial Network
Categorical GANs: A Universal Approach to GANs with Discrete Data
Semantic Segmentation with Reverse Attention Guided UNet and Adversarial Training
