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Monocular Depth Estimation

Monocular Depth Estimation is the task of estimating the depth value (distance relative to the camera) of each pixel given a single (monocular) RGB image. This challenging task is a key prerequisite for determining scene understanding for applications such as 3D scene reconstruction, autonomous driving, and AR. State-of-the-art methods usually fall into one of two categories: designing a complex network that is powerful enough to directly regress the depth map, or splitting the input into bins or windows to reduce computational complexity. The most popular benchmarks are the KITTI and NYUv2 datasets. Models are typically evaluated using RMSE or absolute relative error.

Source: Defocus Deblurring Using Dual-Pixel Data

Papers

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Showing 826–850 of 876 papers

TitleStatusHype
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic ImageryCode0
Edge-Guided Occlusion Fading Reduction for a Light-Weighted Self-Supervised Monocular Depth EstimationCode0
Monocular Depth Estimation using Multi-Scale Continuous CRFs as Sequential Deep NetworksCode0
Monocular Depth Estimation Using Cues Inspired by Biological Vision SystemsCode0
Self-supervised monocular depth estimation from oblique UAV videosCode0
Monocular Depth Decomposition of Semi-Transparent Volume RenderingsCode0
Monocular 3D Object Detection with Pseudo-LiDAR Point CloudCode0
Self-Supervised Monocular Depth Estimation with Self-Reference Distillation and Disparity Offset RefinementCode0
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of MarsCode0
Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained HardwareCode0
MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth EstimationCode0
Automatic Discovery and Geotagging of Objects from Street View ImageryCode0
METER: a mobile vision transformer architecture for monocular depth estimationCode0
EDADepth: Enhanced Data Augmentation for Monocular Depth EstimationCode0
Self-Supervised Monocular Depth HintsCode0
Dual CNN Models for Unsupervised Monocular Depth EstimationCode0
Maximum Likelihood Uncertainty Estimation: Robustness to OutliersCode0
Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruningCode0
On the Viability of Monocular Depth Pre-training for Semantic SegmentationCode0
AutoColor: Learned Light Power Control for Multi-Color HologramsCode0
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth EstimationCode0
D-Net: A Generalised and Optimised Deep Network for Monocular Depth EstimationCode0
Learning Single Camera Depth Estimation using Dual-PixelsCode0
Adversarial Attacks on Monocular Pose EstimationCode0
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