More thoughts on diffusion guidance, with a focus on its geometry in the input space.| Sander Dieleman
Perspectives on diffusion, or how diffusion models are autoencoders, deep latent variable models, score function predictors, reverse SDE solvers, flow-based models, RNNs, and autoregressive models, all at once!| Sander Dieleman
Diffusion models have completely taken over generative modelling of perceptual signals -- why is autoregression still the name of the game for language modelling? Can we do anything about that?| Sander Dieleman
A quick post with some thoughts on diffusion guidance| Sander Dieleman
Diffusion models have become very popular over the last two years. There is an underappreciated link between diffusion models and autoencoders.| Sander Dieleman