Observation-Guided Diffusion Probabilistic Models

arXiv:2310.04041v2 Announce Type: replace
Abstract: We propose a novel diffusion-based image generation method called the observation-guided diffusion probabilistic model (OGDM), which effectively addresses the tradeoff between quality control and fast sampling. Our approach reestablishes the training objective by integrating the guidance of the observation process with the Markov chain in a principled way. This is achieved by introducing an additional loss term derived from the observation based on a conditional discriminator on noise level, which employs a Bernoulli distribution indicating …

arxiv cs.ai cs.lg diffusion observation type