Monocular depth estimation using learning-based approaches has become promising in
recent years. However, most monocular depth estimators either need to rely on large …

Depth completion aims to recover pixelwise depth from incomplete and noisy depth
measurements with or without the guidance of a reference RGB image. This task attracted …

Inpainting techniques, rooted in ancient art restoration practices, have become essential
tools for digital image editing in modern contexts. Despite their widespread applications …

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 …

Robust geometric and semantic scene understanding is ever more important in many real-
world applications such as autonomous driving and robotic navigation. In this paper, we …

Advances in depth sensing technologies have allowed simultaneous acquisition of both
color and depth data under different environments. However, most depth sensors have …

Depth completion of forward objects is critical to safe and effective autonomous driving as it
can estimate dense depth from sparse light detection and ranging (LiDAR) data and RGB …

In this work, the issue of depth filling is addressed using a self-supervised feature learning
model that predicts missing depth pixel values based on the context and structure of the …

We propose a novel method for estimating the 3D geometry of indoor scenes based on
multiple spherical images. Our technique produces a dense depth map registered to a …

Robust scanning technologies that offer 3D view of the world in real time are critical for
situational awareness and safe operation of robotic and autonomous systems. Color and …