Monocular Depth Estimation

129 papers with code • 8 benchmarks • 13 datasets

The Monocular Depth Estimation is the task of estimating scene depth using a single image.

Source: Defocus Deblurring Using Dual-Pixel Data

Latest papers without code

CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation

no code yet • 29 Jul 2021

With supervision from the ground truth created by semantic labels, the network is embedded with contextual information so that it could understand the scene better, utilizing dependent features to make accurate prediction.

Monocular Depth Estimation Scene Understanding +1

Unsupervised Monocular Depth Estimation in Highly Complex Environments

no code yet • 28 Jul 2021

While in some challenging environments, like night, rainy night or snowy winter, the photometry of the same pixel on different frames is inconsistent because of the complex lighting and reflection, so that the day-time unsupervised frameworks cannot be directly applied to these complex scenarios.

Domain Adaptation Monocular Depth Estimation

BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation

no code yet • 27 Jul 2021

The other is the content guidance bridge (CGBdg) designed for the depth map reconstruction process, which provides the content guidance learned from DSR task for MDE task.

Depth Map Super-Resolution Monocular Depth Estimation +1

MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments

no code yet • 26 Jul 2021

The effectiveness of each module is shown through a carefully conducted ablation study and the demonstration of the state-of-the-art performance on three indoor datasets, \ie, EuRoC, NYUv2, and 7-scenes.

Monocular Depth Estimation Pose Estimation

Photon-Starved Scene Inference using Single Photon Cameras

no code yet • 23 Jul 2021

The key idea is that having a spectrum of different brightness levels during training enables effective guidance, and increases robustness to shot noise even in extreme noise cases.

Image Classification Monocular Depth Estimation +1

CutDepth:Edge-aware Data Augmentation in Depth Estimation

no code yet • 16 Jul 2021

It is difficult to collect data on a large scale in a monocular depth estimation because the task requires the simultaneous acquisition of RGB images and depths.

Data Augmentation Monocular Depth Estimation

MSFNet:Multi-scale features network for monocular depth estimation

no code yet • 14 Jul 2021

The EDA module employs the spatial attention method to learn significant spatial information, while USF module complements low-level detail information with high-level semantic information from the perspective of multi-scale feature fusion to improve the predicted effect.

Monocular Depth Estimation

A Weakly-Supervised Depth Estimation Network Using Attention Mechanism

no code yet • 10 Jul 2021

It consists of a dense residual network structure, an adaptive weight channel attention (AWCA) module, a patch second non-local (PSNL) module and a soft label generation method.

Monocular Depth Estimation Scene Understanding

Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting

no code yet • 6 Jul 2021

As cameras are increasingly deployed in new application domains such as autonomous driving, performing 3D object detection on monocular images becomes an important task for visual scene understanding.

Autonomous Driving Monocular 3D Object Detection +2

Extraction of Key-frames of Endoscopic Videos by using Depth Information

no code yet • 30 Jun 2021

A deep learning-based monocular depth estimation (MDE) technique is proposed for selection of most informative frames (key frames) of an endoscopic video.

3D Reconstruction Monocular Depth Estimation +1