AI RESEARCH

Trajectory Constraints for Imaging Inverse Problems

arXiv CS.CV

ArXi:2605.29012v1 Announce Type: new Diffusion-based and iterative methods have become effective tools for solving imaging inverse problems. Their reconstruction process naturally forms a trajectory of intermediate estimates. Although these intermediate estimates define a reconstruction trajectory, most methods do not explicitly regularize the transitions between consecutive states. To address this limitation, we