Neural Isometries: Taming Transformations for Equivariant ML

Thomas W. Mitchel, Michael Taylor, Vincent Sitzmann

Real-world geometry and 3D vision tasks are replete with challenging symmetries that defy tractable analytical expression. In this paper, we introduce Neural Isometries, an autoenc…