We propose Neural 3D Articulation Prior (NAP), the first 3D deep generat...
Equivariance has gained strong interest as a desirable network property ...
We introduce Equivariant Neural Field Expectation Maximization (EFEM), a...
2D-to-3D reconstruction is an ill-posed problem, yet humans are good at
...
Equivariant networks have been adopted in many 3-D learning areas. Here ...
A protein performs biological functions by folding to a particular 3D
st...
Invariance and equivariance to the rotation group have been widely discu...