SOTAVerified

Stereo Matching

Stereo Matching is one of the core technologies in computer vision, which recovers 3D structures of real world from 2D images. It has been widely used in areas such as autonomous driving, augmented reality and robotics navigation. Given a pair of rectified stereo images, the goal of Stereo Matching is to compute the disparity for each pixel in the reference image, where disparity is defined as the horizontal displacement between a pair of corresponding pixels in the left and right images.

Source: Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 517 papers

TitleStatusHype
LightEndoStereo: A Real-time Lightweight Stereo Matching Method for Endoscopy ImagesCode1
Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-view StereoCode1
Active-Passive SimStereo -- Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo MethodsCode1
Epipolar TransformersCode1
3D Surface Reconstruction From Multi-Date Satellite ImagesCode1
Matching-space Stereo Networks for Cross-domain GeneralizationCode1
Learning Stereo Matchability in Disparity Regression NetworksCode1
Deep 3D Portrait from a Single ImageCode1
Learning Stereo from Single ImagesCode1
Deep Laparoscopic Stereo Matching with TransformersCode1
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty EstimationCode1
HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo MatchingCode1
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching NetworksCode1
MC-Stereo: Multi-peak Lookup and Cascade Search Range for Stereo MatchingCode1
LiDAR-Event Stereo Fusion with HallucinationsCode1
Group-wise Correlation Stereo NetworkCode1
GA-Net: Guided Aggregation Net for End-to-end Stereo MatchingCode1
Hadamard Attention Recurrent Transformer: A Strong Baseline for Stereo Matching TransformerCode1
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo MatchingCode1
Depth-aware Volume Attention for Texture-less Stereo MatchingCode1
Do End-to-end Stereo Algorithms Under-utilize Information?Code1
FADNet: A Fast and Accurate Network for Disparity EstimationCode1
Hierarchical Neural Architecture Search for Deep Stereo MatchingCode1
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D DetectorCode1
Neural Rays for Occlusion-aware Image-based RenderingCode1
Global Occlusion-Aware Transformer for Robust Stereo MatchingCode1
Stereo Hybrid Event-Frame (SHEF) Cameras for 3D PerceptionCode1
Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution—0
Depth From Semi-Calibrated Stereo and Defocus—0
A Survey on Deep Learning Techniques for Stereo-based Depth Estimation—0
Depth from Monocular Images using a Semi-Parallel Deep Neural Network (SPDNN) Hybrid Architecture—0
Adaptive Deconvolution-based stereo matching Net for Local Stereo Matching—0
Depth Estimation Analysis of Orthogonally Divergent Fisheye Cameras with Distortion Removal—0
A shallow feature extraction network with a large receptive field for stereo matching tasks—0
A Robust Real-Time Computing-based Environment Sensing System for Intelligent Vehicle—0
Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task—0
A Brief Survey of Recent Edge-Preserving Smoothing Algorithms on Digital Images—0
Dense 3D Reconstruction Through Lidar: A Comparative Study on Ex-vivo Porcine Tissue—0
Degradation-agnostic Correspondence from Resolution-asymmetric Stereo—0
A Review of Vegetation Encroachment Detection in Power Transmission Lines using Optical Sensing Satellite Imagery—0
Deep Stereo Matching with Explicit Cost Aggregation Sub-Architecture—0
An underwater binocular stereo matching algorithm based on the best search domain—0
Deep Stereo Matching with Dense CRF Priors—0
A Noncontact Technique for Wave Measurement Based on Thermal Stereography and Deep Learning—0
Deep Material-Aware Cross-Spectral Stereo Matching—0
A novel stereo matching pipeline with robustness and unfixed disparity search range—0
2T-UNET: A Two-Tower UNet with Depth Clues for Robust Stereo Depth Estimation—0
Event-Driven Stereo Matching for Real-Time 3D Panoramic Vision—0
Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs—0
Analyzing Computer Vision Data - The Good, the Bad and the Ugly—0
Show:102550
← PrevPage 3 of 11Next →

No leaderboard results yet.