Training-free Linear Image Inverses via Flows

arXiv:2310.04432v2 Announce Type: replace-cross
Abstract: Solving inverse problems without any training involves using a pretrained generative model and making appropriate modifications to the generation process to avoid finetuning of the generative model. While recent methods have explored the use of diffusion models, they still require the manual tuning of many hyperparameters for different inverse problems. In this work, we propose a training-free method for solving linear inverse problems by using pretrained flow models, leveraging the simplicity and efficiency of Flow …

abstract arxiv cs.ai cs.cv cs.lg diffusion diffusion models finetuning free generative image linear making process training type via