Paper2021
Latent Diffusion Models
Rombach et al.
High-resolution image generation by diffusing in learned latent spaces
Generative
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Concept2020
Diffusion Models
Ho, Jain & Abbeel
Generative models that learn to denoise, enabling high-quality image and video synthesis
Paper2018
GPT: Generative Pre-Training
Radford et al.
Autoregressive language models that learn to predict the next token
Concept2014
Generative Adversarial Networks
Goodfellow et al.
Two neural networks compete to generate realistic data
Paper2016
Variational Lossy Autoencoder
Chen et al.
Understanding VAEs as compression systems with a rate-distortion trade-off
Blog2015
The Unreasonable Effectiveness of Recurrent Neural Networks
Andrej Karpathy
Andrej Karpathy's influential blog post demonstrating RNN capabilities through character-level generation
Concept2013
Variational Autoencoder (VAE)
Kingma & Welling
Probabilistic generative model with structured latent space