Significant advancements have been made in image anomaly detection using un- and self-supervised methods.The paper introduces GRAD: Bi-Grid Reconstruction for Image Anomaly Detection.GRAD employs two continuous grids to enhance anomaly detection from normal and abnormal perspectives.Evaluations demonstrate significant performance improvements in fine-grained anomaly detection with GRAD.