Post #390

SuperGlue: Learning Feature Matching with Graph Neural Network Another cool application of GNNs, done at Magic Leap, which specializes in 3D computer-generated graphics. They use GNN for graph matching in real-time videos, which is used for tasks such as 3D reconstruction, place recognition, localization, and mapping. The architecture called SuperGlue (presented at CVPR 2020) is an attention based model with Sinkhorn algorithm, similar to other graph matching works, but is that has been successfully integrated into much bigger pipeline that extracts graphs from the images in end-to-end fashion.