SuperGlue: Learning Feature Matching with Graph Neural Networks This paper introduces SuperGlue, a neural network that matches two sets of local features by jointly finding correspondences and rejecting non-matchable points Assignments are estimated by solving a differentiable optimal transport problem, whose costs are predicted by a graph neural network