Jonathan Ho & Tim Salimans (2022)
arXiv.
DOI: https://doi.org/10.48550/arxiv.2207.12598
Abstract. Introduces classifier-free guidance, which trains a diffusion model jointly with and without conditioning and then amplifies the conditional signal at sampling time. The technique substantially improves adherence of generated samples to text prompts.
Tags: generative diffusion guidance