The Internet has become an unprecedented source of visual information about our world,
with millions of people uploading photos and videos to media-sharing sites at staggering …

With the introduction of consumer light field cameras, light field imaging has recently
become widespread. However, there is an inherent trade-off between the angular and …

Deep networks have recently enjoyed enormous success when applied to recognition and
classification problems in computer vision [22, 32], but their use in graphics problems has …

We present a machine learning algorithm that takes as input a 2D RGB image and
synthesizes a 4D RGBD light field (color and depth of the scene in each ray direction). For …

Modern camera calibration and multiview stereo techniques enable users to smoothly
navigate between different views of a scene captured using standard cameras. The …

Our aim is to give users real-time free-viewpoint rendering of real indoor scenes, captured
with off-the-shelf equipment such as a high-quality color camera and a commodity depth …

Light field cameras have many advantages over traditional cameras, as they allow the user
to change various camera settings after capture. However, capturing light fields requires a …

We present a method for adding parallax and real-time playback of 360° videos in Virtual
Reality headsets. In current video players, the playback does not respond to translational …

Reconstructing the shape of an object from images is an important problem in computer
vision that has led to a variety of solution strategies. This survey covers photometric stereo …

Novel view synthesis using implicit neural functions such as Neural Radiance Field (NeRF)
has achieved significant progress recently. However, it is very computationally expensive to …