AI RESEARCH
DeblurSplat: SfM-free 3D Gaussian Splatting with Event Camera for Robust Deblurring
arXiv CS.CV
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ArXi:2509.18898v2 Announce Type: replace In this paper, we propose the first Structure-from-Motion (SfM)-free deblurring 3D Gaussian Splatting method via event camera, dubbed DeblurSplat. We address the motion-deblurring problem in two ways. First, we leverage the pretrained capability of the dense stereo module (DUSt3R) to directly obtain accurate initial point clouds from blurred images. Without calculating camera poses as an intermediate result, we avoid the cumulative errors transfer from inaccurate camera poses to the initial point clouds' positions. Second, we.