AI RESEARCH
Trajectory Constraints for Imaging Inverse Problems
arXiv CS.CV
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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