Web: http://arxiv.org/abs/2209.10684

Sept. 23, 2022, 1:14 a.m. | Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi

cs.CV updates on arXiv.org arxiv.org

Neural fields model signals by mapping coordinate inputs to sampled values.
They are becoming an increasingly important backbone architecture across many
fields from vision and graphics to biology and astronomy. In this paper, we
explore the differences between common conditioning mechanisms within these
networks, an essential ingredient in shifting neural fields from memorization
of signals to generalization, where the set of signals lying on a manifold is
modelled jointly. In particular, we are interested in the scaling behaviour of
these …

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