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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 551–575 of 876 papers

TitleStatusHype
A Simple Baseline for Supervised Surround-view Depth Estimation—0
DwinFormer: Dual Window Transformers for End-to-End Monocular Depth Estimation—0
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation—0
Monocular Depth Estimation using Diffusion Models—0
Bokeh Rendering Based on Adaptive Depth Calibration Network—0
Depth Estimation and Image Restoration by Deep Learning from Defocused Images—0
Learning 3D Photography Videos via Self-supervised Diffusion on Single Images—0
Self-Supervised Monocular Depth Estimation with Self-Reference Distillation and Disparity Offset RefinementCode0
On the Metrics for Evaluating Monocular Depth Estimation—0
GlocalFuse-Depth: Fusing Transformers and CNNs for All-day Self-supervised Monocular Depth Estimation—0
Long Range Object-Level Monocular Depth Estimation for UAVs—0
EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse Night Conditions—0
Learning Good Features to Transfer Across Tasks and Domains—0
FG-Depth: Flow-Guided Unsupervised Monocular Depth Estimation—0
SoftEnNet: Symbiotic Monocular Depth Estimation and Lumen Segmentation for Colonoscopy Endorobots—0
Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces—0
S^2Net: Accurate Panorama Depth Estimation on Spherical Surface—0
Deep Planar Parallax for Monocular Depth Estimation—0
DepthP+P: Metric Accurate Monocular Depth Estimation using Planar and Parallax—0
BS3D: Building-scale 3D Reconstruction from RGB-D Images—0
3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces—0
Exploring Efficiency of Vision Transformers for Self-Supervised Monocular Depth EstimationCode0
Lightweight Monocular Depth Estimation—0
ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation—0
Event-based Monocular Dense Depth Estimation with Recurrent Transformers—0
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