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

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