Deep depth completion from extremely sparse data: A survey
Depth completion aims at predicting dense pixel-wise depth from an extremely sparse map
captured from a depth sensor, eg, LiDARs. It plays an essential role in various applications …
captured from a depth sensor, eg, LiDARs. It plays an essential role in various applications …
Deep depth completion of a single rgb-d image
The goal of our work is to complete the depth channel of an RGB-D image. Commodity-
grade depth cameras often fail to sense depth for shiny, bright, transparent, and distant …
grade depth cameras often fail to sense depth for shiny, bright, transparent, and distant …
Real-time monocular depth estimation using synthetic data with domain adaptation via image style transfer
Monocular depth estimation using learning-based approaches has become promising in
recent years. However, most monocular depth estimators either need to rely on large …
recent years. However, most monocular depth estimators either need to rely on large …
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods
Integrating an RGB camera into a ToF imaging system has become a significant technique
for perceiving the real world. The RGB guided ToF imaging system is crucial to several …
for perceiving the real world. The RGB guided ToF imaging system is crucial to several …
Depth enhancement via low-rank matrix completion
Depth captured by consumer RGB-D cameras is often noisy and misses values at some
pixels, especially around object boundaries. Most existing methods complete the missing …
pixels, especially around object boundaries. Most existing methods complete the missing …
Learning steering kernels for guided depth completion
This paper addresses the guided depth completion task in which the goal is to predict a
dense depth map given a guidance RGB image and sparse depth measurements. Recent …
dense depth map given a guidance RGB image and sparse depth measurements. Recent …
Deep surface normal estimation with hierarchical rgb-d fusion
The growing availability of commodity RGB-D cameras has boosted the applications in the
field of scene understanding. However, as a fundamental scene understanding task, surface …
field of scene understanding. However, as a fundamental scene understanding task, surface …
User experience and interaction performance in 2D/3D telecollaboration
Affordable 3D cameras, mixed reality headsets, and 3D displays have recently pushed the
Augmented Reality (AR) and Virtual Reality (VR) technologies into the consumer market …
Augmented Reality (AR) and Virtual Reality (VR) technologies into the consumer market …
Guided depth enhancement via anisotropic diffusion
In this paper, we propose to conduct inpainting and upsampling for defective depth maps
when aligned color images are given. These tasks are referred to as the guided depth …
when aligned color images are given. These tasks are referred to as the guided depth …
Deep reinforcement learning of volume-guided progressive view inpainting for 3d point scene completion from a single depth image
We present a deep reinforcement learning method of progressive view inpainting for 3D
point scene completion under volume guidance, achieving high-quality scene reconstruction …
point scene completion under volume guidance, achieving high-quality scene reconstruction …