- Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
- AttnGAN
- Generating Artistic Hallucinated Images using DeepDream
- Pix2pix GAN
- StyleGAN
- Relativistic GAN
- BigGAN
- StackGAN
- Progressive Growing GAN (ProGAN)
- Laplacian Pyramid of Adversarial Networks (LAPGAN)
- Disentangled Representations using Information Maximizing GAN (InfoGAN)
- Self-Attention GAN (SAGAN)
- Super Resolution GAN (SRGAN)
- DiscoGAN
- CycleGAN
- Boundary Equilibrium GAN (BEGAN)
- Least Squares GAN (LSGAN)
- Semi-Supervised Learning Generative Adversarial Network (SGAN)
- Auxiliary Classifier GAN (ACGAN)
- Conditional GAN (CGAN)
- Wasserstein GAN (WGAN)
- Deep Convolutional GAN (DCGAN)
- Generative Adversarial Networks for Handwritten Digits Generation
-
GANs
- Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold | Xingang Pan, Ayush Tewari, Thomas Leimkühler, Lingjie Liu, Abhimitra Meka, Christian Theobalt
- (BigGAN) Large Scale GAN Training for High Fidelity Natural Image Synthesis | Andrew Brock, Jeff Donahue, Karen Simonyan
- (SAGAN) Self-Attention Generative Adversarial Networks | Han Zhang, Ian Goodfellow, Dimitris Metaxas, Augustus Odena
- (SRGAN) Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi
- (StyleGAN) A Style-Based Generator Architecture for Generative Adversarial Networks | Tero Karras, Samuli Laine, Timo Aila
- (RGAN) The relativistic discriminator: a key element missing from standard GAN | Alexia Jolicoeur-Martineau
- (DiscoGAN) Learning to Discover Cross-Domain Relations with Generative Adversarial Networks | Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, Jiwon Kim
- (CycleGAN) Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks | Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros
- BEGAN: Boundary Equilibrium Generative Adversarial Networks | David Berthelot, Thomas Schumm, Luke Metz
- AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks | Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He
- (ProGAN) Progressive Growing of GANs for Improved Quality, Stability, and Variation | Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen
- (WGAN) Wasserstein GAN | Martin Arjovsky, Soumith Chintala, Léon Bottou
- (Pix2Pix GAN) Image-to-Image Translation with Conditional Adversarial Networks | Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros
- StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks | Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris Metaxas
- InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets | Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel
- Least Squares Generative Adversarial Networks | Xudong Mao, Qing Li, Haoran Xie, Raymond Y.K. Lau, Zhen Wang, Stephen Paul Smolley
- (SGAN) Semi-Supervised Learning with Generative Adversarial Networks | Augustus Odena
- (ACGAN) Conditional Image Synthesis With Auxiliary Classifier GANs | Augustus Odena, Christopher Olah, Jonathon Shlens
- (DCGAN) Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks | Alec Radford, Luke Metz, Soumith Chintala
- (LAPGAN) Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks | Emily Denton, Soumith Chintala, Arthur Szlam, Rob Fergus
- (CGAN) Conditional Generative Adversarial Nets | Mehdi Mirza, Simon Osindero
- (GAN) Generative Adversarial Networks | Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio
-
Diffusers
- Structure and Content-Guided Video Synthesis with Diffusion Models | Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis
- High-Resolution Image Synthesis with Latent Diffusion Models | Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
- Denoising Diffusion Probabilistic Models | Jonathan Ho, Ajay Jain, Pieter Abbeel
- Diffusion Models: A Comprehensive Survey of Methods and Applications | Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang
-
Autoencoders
- Stacked Capsule Autoencoders | Adam R. Kosiorek, Sara Sabour, Yee Whye Teh, Geoffrey E. Hinton
- Adversarial Autoencoders | Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow, Brendan Frey
- Auto-Encoding Variational Bayes | Diederik P Kingma, Max Welling
- Reducing the Dimensionality of Data with Neural Networks | G. E. Hinton, R. R. Salakhutdinov
-
Boltzmann Machines
-
Flow
- Images
- Audios
- MusicLM: Generating Music From Text | Andrea Agostinelli, Timo I. Denk, Zalán Borsos, Jesse Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, Aren Jansen, Adam Roberts, Marco Tagliasacchi, Matt Sharifi, Neil Zeghidour, Christian Frank
- Jukebox: A Generative Model for Music
- Videos
- (Gen-1) Structure and Content-Guided Video Synthesis with Diffusion Models
- (Gen-2) Structure and Content-Guided Video Synthesis with Diffusion Models
- Text2LIVE: Text-Driven Layered Image and Video Editing | Omer Bar-Tal, Dolev Ofri-Amar, Rafail Fridman, Yoni Kasten, Tali Dekel