With the rapid development of high-speed communication and artificial intelligence
technologies, human perception of real-world scenes is no longer limited to the use of small …

The metaverse aims to build an immersive virtual reality world to support the daily life, work,
and recreation of people. In this survey, the status quo of the metaverse is investigated, and …

Imaging depth and spectrum have been extensively studied in isolation from each other for
decades. Recently, hyperspectral-depth (HS-D) imaging emerges to capture both …

The race for miniature color cameras using flat meta-optics has rapidly developed the end-to-
end design framework using neural networks. Although a large body of work has shown the …

A unidirectional imager would only permit image formation along one direction, from an
input field-of-view (FOV) A to an output FOV B, and in the reverse path, B→ A, the image …

Since the advent of single-pixel imaging and machine learning, both fields have flourished,
but followed parallel tracks. Until recently, machine learning, especially deep learning, has …

Computational imaging systems algorithmically post-process acquisition images either to
reveal physical quantities of interest or to increase image quality, eg, deblurring. Designing …

Deep optical optimization has recently emerged as a new paradigm for designing
computational imaging systems using only the output image as the objective. However, it …

Unwanted camera obstruction can severely degrade captured images, including both scene
occluders near the camera and partial occlusions of the camera cover glass. Such …

Volumetric representations are popular in inverse rendering because they have a simple
parameterization, are smoothly varying, and transparently handle topology changes …