2026 edition · Top 30
Generative models
Models that learn to produce data: VAEs, GANs, flows, diffusion and autoregressive models.
Generative models: 30 · N = 30, scaled from 81 candidates.
0 of 30 of this page's 30 read · saved in this browser only
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford · 15,333 citations · Papers With Code
Award - 3
Denoising Diffusion Probabilistic Models
Jonathan Ho · 36,409 citations · Papers With Code
Editor's note - 4
- 5
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach · 28,168 citations · Papers With Code
Editor's note - 6
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song · 12,556 citations · Papers With Code
Editor's note - 7
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras · 13,711 citations · Papers With Code
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Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Sohl-Dickstein · 10,963 citations · Papers With Code
- 10
Denoising Diffusion Implicit Models
Jiaming Song · 13,950 citations · Papers With Code
- 11
Classifier-Free Diffusion Guidance
Jonathan Ho · 7,440 citations · Papers With Code
- 12
Zero-Shot Text-to-Image Generation
Aditya Ramesh · 6,799 citations · Papers With Code
- 13
Wasserstein Generative Adversarial Networks
Martin Arjovsky · 6,382 citations · OpenAlex
- 14
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende · 5,182 citations · Papers With Code
Award - 15
Improved Techniques for Training GANs
Salimans · 10,762 citations · Papers With Code
- 16
Scalable Diffusion Models with Transformers
William Peebles · 7,698 citations · Papers With Code
- 17
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras · 8,843 citations · Papers With Code
- 18
A learning algorithm for Boltzmann machines
David H. Ackley · 3,405 citations · OpenAlex
Editor's note - 19
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia · 9,031 citations · Papers With Code
- 20
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal · 13,342 citations · Papers With Code
- 21
Hierarchical Text-Conditional Image Generation with CLIP Latents
Ramesh · 9,532 citations · Papers With Code
- 22
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu · 23,599 citations · OpenAlex
- 23
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola · 23,314 citations · Papers With Code
- 24
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song · 6,113 citations · Papers With Code
- 25
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras · 7,281 citations · Papers With Code
- 26
Improved Training of Wasserstein GANs
Ishaan Gulrajani · 11,321 citations · Papers With Code
- 27
Neural Ordinary Differential Equations
Ricky T. Q. Chen · 7,965 citations · Papers With Code
- 28
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang · 8,002 citations · Papers With Code
- 29
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock · 6,324 citations · Papers With Code
- 30
Density estimation using Real NVP
Laurent Dinh · 4,671 citations · Papers With Code
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Aäron van den Oord · 8,473 citations · Papers With Code
Editor's noteA Fast Learning Algorithm for Deep Belief Nets
Geoffrey E. Hinton · 16,335 citations · OpenAlex
Editor's note
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.