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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 401–450 of 876 papers

TitleStatusHype
S^2Net: Accurate Panorama Depth Estimation on Spherical Surface—0
A Study on the Generality of Neural Network Structures for Monocular Depth EstimationCode1
Deep Planar Parallax for Monocular Depth Estimation—0
DepthP+P: Metric Accurate Monocular Depth Estimation using Planar and Parallax—0
All in Tokens: Unifying Output Space of Visual Tasks via Soft TokenCode1
BS3D: Building-scale 3D Reconstruction from RGB-D Images—0
3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces—0
LightedDepth: Video Depth Estimation in Light of Limited Inference View AnglesCode1
Trap Attention: Monocular Depth Estimation With Manual TrapsCode1
Exploring Efficiency of Vision Transformers for Self-Supervised Monocular Depth EstimationCode0
Lightweight Monocular Depth Estimation—0
MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth EstimationCode1
ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation—0
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth EstimationCode1
Event-based Monocular Dense Depth Estimation with Recurrent Transformers—0
3D Object Aided Self-Supervised Monocular Depth Estimation—0
Multi-resolution Monocular Depth Map Fusion by Self-supervised Gradient-based CompositionCode1
ObjCAViT: Improving Monocular Depth Estimation Using Natural Language Models And Image-Object Cross-AttentionCode0
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object DetectionCode0
Self-Supervised Surround-View Depth Estimation with Volumetric Feature FusionCode1
3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection TransformersCode1
Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth EstimationCode2
The Monocular Depth Estimation ChallengeCode1
Hybrid Transformer Based Feature Fusion for Self-Supervised Monocular Depth Estimation—0
A Practical Stereo Depth System for Smart GlassesCode1
LightDepth: A Resource Efficient Depth Estimation Approach for Dealing with Ground Truth Sparsity via Curriculum LearningCode1
SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic ScenesCode2
RCDPT: Radar-Camera fusion Dense Prediction TransformerCode1
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
Attention Attention Everywhere: Monocular Depth Prediction with Skip AttentionCode1
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation—0
Composite Learning for Robust and Effective Dense Predictions—0
Improving the Reliability for Confidence Estimation—0
Frequency-Aware Self-Supervised Monocular Depth EstimationCode1
Detaching and Boosting: Dual Engine for Scale-Invariant Self-Supervised Monocular Depth EstimationCode1
IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its UncertaintyCode1
Depth Is All You Need for Monocular 3D Detection—0
MOTSLAM: MOT-assisted monocular dynamic SLAM using single-view depth estimation—0
Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation—0
Image Masking for Robust Self-Supervised Monocular Depth EstimationCode1
PlaneDepth: Self-supervised Depth Estimation via Orthogonal PlanesCode1
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier ConvolutionsCode1
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening ProblemCode1
Lightweight Monocular Depth Estimation with an Edge Guided Network—0
UDepth: Fast Monocular Depth Estimation for Visually-guided Underwater RobotsCode1
Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs—0
On Robust Cross-View Consistency in Self-Supervised Monocular Depth EstimationCode0
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-LabelingCode1
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