Neural networks can represent and accurately reconstruct radiance fields for static 3D
scenes (eg, NeRF). Several works extend these to dynamic scenes captured with monocular …

Single-photon avalanche diodes (SPADs) are an emerging pixel technology for time-of-flight
(ToF) 3D cameras that can capture the time-of-arrival of individual photons at picosecond …

Depth sensors have emerged as a cornerstone sensor modality with diverse applications in
personal hand-held devices, robotics, scientific imaging, autonomous vehicles, and more. In …

Indirect Time-of-Flight (iToF) cameras are a promising depth sensing technology. However,
they are prone to errors caused by multi-path interference (MPI) and low signal-to-noise ratio …

Amplitude modulated continuous-wave time-of-flight (AMCW-ToF) cameras are finding
applications as flash Lidars in autonomous navigation robotics and AR/VR applications. A …

We consider the problem of optimizing the performance of an active imaging system by
automatically discovering the illuminations it should use, and the way to decode them. Our …

We present a new imaging technique, swept-angle synthetic wavelength interferometry, for
full-field micron-scale 3D sensing. As in conventional synthetic wavelength interferometry …

Single-photon 3D cameras can record the time-of-arrival of billions of photons per second
with picosecond accuracy. One common approach to summarize the photon data stream is …

In this work, we propose several time-of-flight (ToF) sensing schemes which tackle the
challenge of covering very-wide areas and long ranges in nearly real time, with relatively …

Depth maps acquired with ToF cameras have a limited accuracy due to the high noise level
and to the multi-path interference. Deep networks can be used for refining ToF depth, but …