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 151–175 of 517 papers

TitleStatusHype
High-Frequency Stereo Matching Network—0
GeoMVSNet: Learning Multi-View Stereo With Geometry PerceptionCode2
Domain Generalized Stereo Matching via Hierarchical Visual Transformation—0
Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity—0
Masked Representation Learning for Domain Generalized Stereo Matching—0
Structure Aggregation for Cross-Spectral Stereo Image Guided DenoisingCode1
Deep Learning of Partial Graph Matching via Differentiable Top-KCode0
Learning Adaptive Dense Event Stereo From the Image Domain—0
Image-Coupled Volume Propagation for Stereo Matching—0
Real-Time High-Quality Stereo Matching System on a GPU—0
Efficient stereo matching on embedded GPUs with zero-means cross correlationCode0
TemporalStereo: Efficient Spatial-Temporal Stereo Matching NetworkCode1
CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical FlowCode2
Unifying Flow, Stereo and Depth EstimationCode3
Expansion of Visual Hints for Improved Generalization in Stereo Matching—0
Self-Supervised Intensity-Event Stereo Matching—0
Comparison of Stereo Matching Algorithms for the Development of Disparity Map—0
2T-UNET: A Two-Tower UNet with Depth Clues for Robust Stereo Depth Estimation—0
A Comparative Study on Deep-Learning Methods for Dense Image Matching of Multi-angle and Multi-date Remote Sensing Stereo Images—0
An Improved RaftStereo Trained with A Mixed Dataset for the Robust Vision Challenge 2022Code3
Context-Enhanced Stereo TransformerCode1
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object DetectionCode2
Non-learning Stereo-aided Depth Completion under Mis-projection via Selective Stereo Matching—0
Accurate and Efficient Stereo Matching via Attention Concatenation VolumeCode2
SOCRATES: A Stereo Camera Trap for Monitoring of BiodiversityCode0
Show:102550
← PrevPage 7 of 21Next →

No leaderboard results yet.