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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 551–600 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
3D Object Aided Self-Supervised Monocular Depth Estimation—0
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object DetectionCode0
ObjCAViT: Improving Monocular Depth Estimation Using Natural Language Models And Image-Object Cross-AttentionCode0
Hybrid Transformer Based Feature Fusion for Self-Supervised Monocular Depth Estimation—0
Towards Comprehensive Representation Enhancement in Semantics-guided Self-supervised Monocular Depth Estimation—0
Photo-realistic Neural Domain Randomization—0
Hierarchical Normalization for Robust Monocular Depth Estimation—0
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation—0
Improving the Reliability for Confidence Estimation—0
Composite Learning for Robust and Effective Dense Predictions—0
Depth Is All You Need for Monocular 3D Detection—0
Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation—0
MOTSLAM: MOT-assisted monocular dynamic SLAM using single-view depth estimation—0
Lightweight Monocular Depth Estimation with an Edge Guided Network—0
Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs—0
On Robust Cross-View Consistency in Self-Supervised Monocular Depth EstimationCode0
Rethinking Skip Connections in Encoder-decoder Networks for Monocular Depth Estimation—0
Dense Depth Distillation with Out-of-Distribution Simulated Images—0
DepthFake: a depth-based strategy for detecting Deepfake videos—0
Multi-task Learning for Monocular Depth and Defocus Estimations with Real ImagesCode0
An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of MarsCode0
Learning Feature Decomposition for Domain Adaptive Monocular Depth Estimation—0
Focal-WNet: An Architecture Unifying Convolution and Attention for Depth EstimationCode0
MonoIndoor++:Towards Better Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments—0
Adversarial Attacks on Monocular Pose EstimationCode0
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