Stereo Depth Estimation
46 papers with code • 5 benchmarks • 5 datasets
Benchmarks
These leaderboards are used to track progress in Stereo Depth Estimation
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Libraries
Use these libraries to find Stereo Depth Estimation models and implementationsDatasets
KITTI
Spring
GUISS dataset
VBR
Latest papers
StaSiS-Net: a stacked and siamese stereo network for depth reconstruction in modern 3D laparoscopy.
lodeguns/StaSiS-Net
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Medical Image Analysis 2022
Accurate and real-time methodologies for a non-invasive three-dimensional representa-tion and reconstruction of internal patient structures is one of the main research fieldsin computer-assisted surgery and endoscopy.
Attention Concatenation Volume for Accurate and Efficient Stereo Matching
Stereo matching is a fundamental building block for many vision and robotics applications.
Chitransformer: Towards Reliable Stereo From Cues
isl-cv/chitransformer
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CVPR 2022
Current stereo matching techniques are challenged by restricted searching space, occluded regions and sheer size.
TriStereoNet: A Trinocular Framework for Multi-baseline Disparity Estimation
cogsys-tuebingen/tristereonet
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Stereo vision is an effective technique for depth estimation with broad applicability in autonomous urban and highway driving.
Stereo Hybrid Event-Frame (SHEF) Cameras for 3D Perception
We provide a SHEF dataset targeted at evaluating disparity estimation algorithms and introduce a stereo disparity estimation algorithm that uses edge information extracted from the event stream correlated with the edge detected in the frame data.
RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching
We introduce RAFT-Stereo, a new deep architecture for rectified stereo based on the optical flow network RAFT.
RVMDE: Radar Validated Monocular Depth Estimation for Robotics
MI-Hussain/RVMDE
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This work explores the utility of coarse signals from radar when fused with fine-grained data from a monocular camera for depth estimation in harsh environmental conditions.
MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching
cogsys-tuebingen/mobilestereonet
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Depending on the dimension of cost volume, we design a 2D and a 3D model with encoder-decoders built from 2D and 3D convolutions, respectively.
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
aljazbozic/transformerfusion
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NeurIPS 2021
We introduce TransformerFusion, a transformer-based 3D scene reconstruction approach.
ES-Net: An Efficient Stereo Matching Network
Dense stereo matching with deep neural networks is of great interest to the research community.
