DeblurGS: Gaussian Splatting for Camera Motion Blur

arXiv:2404.11358v1 Announce Type: new
Abstract: Although significant progress has been made in reconstructing sharp 3D scenes from motion-blurred images, a transition to real-world applications remains challenging. The primary obstacle stems from the severe blur which leads to inaccuracies in the acquisition of initial camera poses through Structure-from-Motion, a critical aspect often overlooked by previous approaches. To address this challenge, we propose DeblurGS, a method to optimize sharp 3D Gaussian Splatting from motion-blurred images, even with the noisy camera pose initialization. …

3d scenes abstract acquisition applications arxiv cs.cv images leads progress through transition type world