GS-RealBlur: A Flexible Data Acquisition Framework for Real-World Image Deblurring
This work proposes GS-RealBlur, a data acquisition framework for real-world image deblurring, achieving both blur realism and acquisition flexibility, and introduces a Blur-aware Pose Refinement (BPR) module that refines the pose using appearance consistency and centroid alignment constraints.