ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation

arXiv:2312.10998v2 Announce Type: replace
Abstract: Image deblurring aims to remove undesired blurs from an image captured in a dynamic scene. Much research has been dedicated to improving deblurring performance through model architectural designs. However, there is little work on data augmentation for image deblurring. Since continuous motion causes blurred artifacts during image exposure, we aspire to develop a groundbreaking blur augmentation method to generate diverse blurred images by simulating motion trajectories in a continuous space. This paper proposes Implicit Diffusion-based …

arxiv augmentation cs.cv diffusion image replace type