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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

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Showing 126–150 of 517 papers

TitleStatusHype
SOS: Stereo Matching in O(1) with Slanted Support WindowsCode1
Stereo Matching by Training a Convolutional Neural Network to Compare Image PatchesCode1
S^2M^2: Scalable Stereo Matching Model for Reliable Depth Estimation—0
RobuSTereo: Robust Zero-Shot Stereo Matching under Adverse Weather—0
StereoDiff: Stereo-Diffusion Synergy for Video Depth Estimation—0
M3Depth: Wavelet-Enhanced Depth Estimation on Mars via Mutual Boosting of Dual-Modal Data—0
Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World—0
CMD: Constraining Multimodal Distribution for Domain Adaptation in Stereo MatchingCode0
ThermoStereoRT: Thermal Stereo Matching in Real Time via Knowledge Distillation and Attention-based RefinementCode0
Consistency-aware Self-Training for Iterative-based Stereo Matching—0
LeanStereo: A Leaner Backbone based Stereo NetworkCode0
Distilling Stereo Networks for Performant and Efficient Leaner NetworksCode0
RGB-Phase Speckle: Cross-Scene Stereo 3D Reconstruction via Wrapped Pre-Normalization—0
Stereo Any Video: Temporally Consistent Stereo Matching—0
SurgPose: a Dataset for Articulated Robotic Surgical Tool Pose Estimation and Tracking—0
StereoGen: High-quality Stereo Image Generation from a Single Image—0
Learned Binocular-Encoding Optics for RGBD Imaging Using Joint Stereo and Focus Cues—0
Active Event-based Stereo VisionCode0
Gromov-Wasserstein Problem with Cyclic Symmetry—0
Uncertainty Quantification in Stereo MatchingCode0
MobiFuse: A High-Precision On-device Depth Perception System with Multi-Data Fusion—0
SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing—0
All-in-One: Transferring Vision Foundation Models into Stereo Matching—0
Stereo Anything: Unifying Stereo Matching with Large-Scale Mixed Data—0
Superpixel Cost Volume Excitation for Stereo Matching—0
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