Research on neural radiance fields (NeRFs) for novel view generation is
...
Neural fields, also known as implicit neural representations, have emerg...
It is common practice in deep learning to represent a measurement of the...
Cryo-electron microscopy (cryo-EM) has revolutionized experimental prote...
We investigate using reinforcement learning agents as generative models ...
Neural Processes (NPs) (Garnelo et al 2018a;b) approach regression by
le...
We propose a formulation of visual localization that does not require
co...
A neural network (NN) is a parameterised function that can be tuned via
...
Deep neural networks excel at function approximation, yet they are typic...
Cameras that can measure the depth of each pixel in addition to its colo...
Optical flow is typically estimated by minimizing a "data cost" and an
o...
The goal of subspace learning is to find a k-dimensional subspace of
R^d...