Blind Image Deblurring in Dynamic Scenes Using Physics-Informed Neural Networks
PI-NAFDeblur is presented, a physics-informed neural network that utilizes a coupling of a lightweight NAFNet restoration backbone and a differentiable reblur operator that enforces forward-model consistency during training to demonstrate that physics-informed regularization can help improve cross-dataset robustness un...