Transformer
- 2017-Attention Is All You Need 论文解读
- 2018-GPT-1-Improving Language Understanding by Generative Pre-Training 论文解读
- 2022-FLIP: Scaling Language-Image Pre-training via Masking 论文解读
- 2022-A-CLIP: Attentive Mask CLIP 论文解读
网络结构
深度学习框架
生成对抗网络
- 2014-Generative Adversarial Nets 论文解读
- 2014-Conditional Generative Adversarial Nets 论文解读
- 2016-Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 论文解读
- 2016-InfoGAN: Interpretable Representation Learning by Infomation Maximizing Generative Adversarial Nets 论文解读
- 2017-Conditional Image Synthesis with Auxiliary Classifier GANs 论文解读
- 2018-cGANs with Projection Discriminator 论文解读
StyleGAN
- 2021-Encoding in Style：a StyleGAN Encoder for Image-to-Image Translation 论文解读
- 2022-AE-StyleGAN：Improved Training of Style-Based Auto-Encoders 论文解读
风格迁移
- 2017-Diversified Texture Synthesis with Feed-forward Networks 论文解读
- 2018-CartoonGAN: Generative Adversarial Networks for Photo Cartoonization 论文解读
- 2020-Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains 论文解读
- 2020-StarGAN v2：Diverse Image Synthesis for Multiple Domains 论文解读
- 2021-AgileGAN: Stylizing Portraits by Inversion-Consistent Transfer Learning 论文解读
- 2021-BlendGAN：Implicitly GAN Blending for Arbitrary Stylized Face Generation 论文解读
- 2022-SemanticStyleGAN：Learning Compositional Generative Priors for Controllable Image Synthesis and Editing 论文解读