Papers2

RecTok is a new visual tokenizer that teaches the whole training path of a diffusion model (the forward flow) to be smart about image meaning, not just the starting latent features.

This paper shows a new way to teach an autoencoder to shape its hidden space (the 'latent space') to look like any distribution we want, not just a simple bell curve.