Training-free Linear Image Inverses via Flows: A Training-Free Approach for Solving Linear Inverse Problems Using Pretrained Flow Models

The authors propose a training-free method for solving linear inverse problems using pretrained flow models, specifically leveraging conditional OT probability paths. This approach significantly reduces manual tuning and improves results compared to diffusion-based methods.