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Found 3 papers, 1 papers with code
Equivariant Single View Pose Prediction Via Induced and Restricted Representations
We show that an algorithm that learns a three-dimensional representation of the world from two dimensional images must satisfy certain geometric consistency properties which we formulate as SO(2)-equivariance constraints.
Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images
In this paper, we propose a novel architecture based on icosahedral group convolutions that reasons in $\mathrm{SO(3)}$ by learning a projection of the input image onto an icosahedron.
Factored World Models for Zero-Shot Generalization in Robotic Manipulation
In this paper, we learn to generalize over robotic pick-and-place tasks using object-factored world models, which combat the combinatorial explosion by ensuring that predictions are equivariant to permutations of objects.
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