Information Entropy-Guided Filling Priority Evaluation for Robust Point Cloud Completion

In the stage of evaluating the filling priority of invalid points, the proposed method innovatively relies on information entropy-guided scores to replace subjective experience in locating points for repair, reducing the accumulation of errors during the sequential filling process and making the evaluation results more robust.