#generative
7 articles
- Diffusion Models Generative models that learn to denoise, enabling high-quality image and video synthesis
- Generative Adversarial Networks Two neural networks compete to generate realistic data
- GPT: Generative Pre-Training Autoregressive language models that learn to predict the next token
- Latent Diffusion Models High-resolution image generation by diffusing in learned latent spaces
- The Unreasonable Effectiveness of Recurrent Neural Networks Andrej Karpathy's influential blog post demonstrating RNN capabilities through character-level generation
- Variational Autoencoder (VAE) Probabilistic generative model with structured latent space
- Variational Lossy Autoencoder Understanding VAEs as compression systems with a rate-distortion trade-off