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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 251–300 of 876 papers

TitleStatusHype
Robust Learning Through Cross-Task ConsistencyCode1
Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement FieldsCode1
Unsupervised Monocular Depth Learning in Dynamic ScenesCode1
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular VideoCode1
Self-distilled Feature Aggregation for Self-supervised Monocular Depth EstimationCode1
GEDepth: Ground Embedding for Monocular Depth EstimationCode1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetryCode1
Regression Prior NetworksCode1
CutDepth:Edge-aware Data Augmentation in Depth EstimationCode1
Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style TransferCode1
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional NetworkCode1
Attention Attention Everywhere: Monocular Depth Prediction with Skip AttentionCode1
Revealing the Dark Secrets of Masked Image ModelingCode1
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier ConvolutionsCode1
Cross-modal transformers for infrared and visible image fusionCode1
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor ScenesCode1
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the EdgeCode1
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World AttacksCode1
Atlantis: Enabling Underwater Depth Estimation with Stable DiffusionCode1
Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the DarkCode1
Frequency-Aware Self-Supervised Monocular Depth EstimationCode1
High Quality Monocular Depth Estimation via Transfer LearningCode1
DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation ModelCode1
Global and Hierarchical Geometry Consistency Priors for Few-shot NeRFs in Indoor ScenesCode1
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth EstimationCode1
EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text AlignmentCode1
Excavating the Potential Capacity of Self-Supervised Monocular Depth EstimationCode1
Guiding Monocular Depth Estimation Using Depth-Attention VolumeCode1
Aerial Single-View Depth Completion with Image-Guided Uncertainty EstimationCode1
EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised TrainingCode1
DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine DomainCode1
Holopix50k: A Large-Scale In-the-wild Stereo Image DatasetCode1
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth EstimationCode1
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth PredictionCode1
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehiclesCode1
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary CellsCode1
IEBins: Iterative Elastic Bins for Monocular Depth EstimationCode1
RCDPT: Radar-Camera fusion Dense Prediction TransformerCode1
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that MatterCode1
Image Masking for Robust Self-Supervised Monocular Depth EstimationCode1
Feature-metric Loss for Self-supervised Learning of Depth and EgomotionCode1
Implicit Integration of Superpixel Segmentation into Fully Convolutional NetworksCode1
Improving Deep Regression with Ordinal EntropyCode1
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised LearningCode1
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth EstimationCode1
RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic ScenesCode1
InSpaceType: Reconsider Space Type in Indoor Monocular Depth EstimationCode1
InSpaceType: Dataset and Benchmark for Reconsidering Cross-Space Type Performance in Indoor Monocular DepthCode1
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
Single Image Depth Estimation Trained via Depth from Defocus CuesCode1
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