In computer vision, it has long been taken for granted that high-quality...
Computer vision methods for depth estimation usually use simple camera m...
Deep lens optimization has recently emerged as a new paradigm for design...
Image signal processors (ISPs) are historically grown legacy software sy...
Neural rendering with implicit neural networks has recently emerged as a...
In this paper, we present Neural Adaptive Tomography (NeAT), the first
a...
This paper study the reconstruction of High Dynamic Range (HDR) video fr...
Under-display cameras have been proposed in recent years as a way to red...
Simultaneous reconstruction of geometry and reflectance properties in
un...
Lensless cameras are a class of imaging devices that shrink the physical...
Holographic displays can generate light fields by dynamically modulating...
We introduce Mask-ToF, a method to reduce flying pixels (FP) in
time-of-...
To extend the capabilities of spectral imaging, hyperspectral and depth
...
State-of-the-art methods for Convolutional Sparse Coding usually employ
...
We present a novel method to reconstruct a fluid's 3D density and motion...
This paper addresses the problem of imaging in the presence of
diffracti...
Recently, several discriminative learning approaches have been proposed ...
Motion blur from camera shake is a major problem in videos captured by
h...
We present a novel algorithm for blind denoising of images corrupted by ...
We present TRex, a flexible and robust Tomographic Reconstruction framew...