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...
Recent progress in geometric computer vision has shown significant advan...
We introduce a unified framework for group equivariant networks on
homog...
While neural representations for static 3D shapes are widely studied,
re...
We investigate the problem of learning to generate 3D parametric surface...