SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection

arXiv:2404.06832v1 Announce Type: cross
Abstract: Detecting anomalies in images has become a well-explored problem in both academia and industry. State-of-the-art algorithms are able to detect defects in increasingly difficult settings and data modalities. However, most current methods are not suited to address 3D objects captured from differing poses. While solutions using Neural Radiance Fields (NeRFs) have been proposed, they suffer from excessive computation requirements, which hinder real-world usability. For this reason, we propose the novel 3D Gaussian splatting-based framework SplatPose …

3d objects abstract academia algorithms anomaly anomaly detection art arxiv become cs.cv cs.lg current data defects detection however images industry objects solutions state type