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Neural Fields as Learnable Kernels for 3D Reconstruction.
Francis Williams
Zan Gojcic
Sameh Khamis
Denis Zorin
Joan Bruna
Sanja Fidler
Or Litany
Published in:
CVPR (2022)
Keyphrases
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network architecture
computer vision
three dimensional
neural network
kernel methods
feature space
kernel function
learning algorithm
high dimensional
bio inspired
structure from motion
d scene
scale space
biologically plausible
hypothesis space
biologically inspired
upper bound
support vector
machine learning