Stereo Matching

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

20 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 192 papers with code (517 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching
  23 Jul 2020 9 repositories listed Syntology ran 1 of 5 samples · 4 unverified
  Contrary to many recent neural network approaches that operate on a full cost volume and rely on 3D convolutions, our approach does not explicitly build a volume and instead relies on a fast multi-resolution…
• Pyramid Stereo Matching Network
  23 Mar 2018 6 repositories listed Syntology ran 3 of 11 samples · 8 unverified
  The spatial pyramid pooling module takes advantage of the capacity of global context information by aggregating context in different scales and locations to form a cost volume.
• MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching
  22 Aug 2021 4 repositories listed Syntology ran 1 of 8 samples · 7 unverified
  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.
• Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
  13 Dec 2019 4 repositories listed Syntology ran 6 of 14 samples · 8 unverified
  The deep multi-view stereo (MVS) and stereo matching approaches generally construct 3D cost volumes to regularize and regress the output depth or disparity.
• Efficient Deep Learning for Stereo Matching
  1 Jun 2016 4 repositories listed
  In the past year, convolutional neural networks have been shown to perform extremely well for stereo estimation.
• Accurate and Efficient Stereo Matching via Attention Concatenation Volume
  23 Sep 2022 3 repositories listed Syntology ran 4 of 11 samples · 7 unverified
  In this paper, we present a novel cost volume construction method, named attention concatenation volume (ACV), which generates attention weights from correlation clues to suppress redundant information and enhance…
• Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation
  22 Mar 2022 3 repositories listed Syntology ran 8 of 12 samples · 4 unverified · 11 pointer-only (licence)
  With the advent of convolutional neural networks, stereo matching algorithms have recently gained tremendous progress.
• CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching
  9 Apr 2021 3 repositories listed Syntology ran 4 of 21 samples · 17 unverified
  In this paper, we propose CFNet, a Cascade and Fused cost volume based network to improve the robustness of the stereo matching network.
• Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
  28 Oct 2020 3 repositories listed Syntology ran 4 of 12 samples · 8 unverified
  Learning matching costs has been shown to be critical to the success of the state-of-the-art deep stereo matching methods, in which 3D convolutions are applied on a 4D feature volume to learn a 3D cost volume.
• GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
  13 Apr 2019 3 repositories listed Syntology ran 6 of 7 samples · 1 unverified
  In the stereo matching task, matching cost aggregation is crucial in both traditional methods and deep neural network models in order to accurately estimate disparities.
• Noise-Aware Unsupervised Deep Lidar-Stereo Fusion
  8 Apr 2019 3 repositories listed
  In this paper, we present LidarStereoNet, the first unsupervised Lidar-stereo fusion network, which can be trained in an end-to-end manner without the need of ground truth depth maps.
• FoundationStereo: Zero-Shot Stereo Matching
  17 Jan 2025 2 repositories listed Syntology ran 36 of 46 samples · 10 unverified · 46 pointer-only (licence)
  However, achieving strong zero-shot generalization - a hallmark of foundation models in other computer vision tasks - remains challenging for stereo matching.
• Event-based Stereo Depth Estimation: A Survey
  26 Sep 2024 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  It is the first to extensively review DL methods as well as stereo datasets, even providing practical suggestions for creating new benchmarks to advance the field.
• IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching
  1 Sep 2024 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 1 pointer-only (licence)
  We further propose a selective geometry feature fusion module to adaptively fuse multi-range and multi-granularity geometry features in MGEV.
• BDIS: Bayesian Dense Inverse Searching Method for Real-Time Stereo Surgical Image Matching
  6 May 2022 2 repositories listed
  The patch-based fast disparity searching algorithm is adopted for the rectified stereo images.
• Attention Concatenation Volume for Accurate and Efficient Stereo Matching
  4 Mar 2022 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Stereo matching is a fundamental building block for many vision and robotics applications.
• SMD-Nets: Stereo Mixture Density Networks
  8 Apr 2021 2 repositories listed Syntology ran 15 of 28 samples · 13 unverified
  Despite stereo matching accuracy has greatly improved by deep learning in the last few years, recovering sharp boundaries and high-resolution outputs efficiently remains challenging.
• YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
  17 Mar 2021 2 repositories listed
  Object detection in 3D with stereo cameras is an important problem in computer vision, and is particularly crucial in low-cost autonomous mobile robots without LiDARs.
• Parallax Attention for Unsupervised Stereo Correspondence Learning
  16 Sep 2020 2 repositories listed
  Based on our PAM, we propose a parallax-attention stereo matching network (PASMnet) and a parallax-attention stereo image super-resolution network (PASSRnet) for stereo matching and stereo image super-resolution tasks.
• Learning Stereo from Single Images
  4 Aug 2020 2 repositories listed Syntology ran 2 of 8 samples · 6 unverified
  We propose that it is unnecessary to have such a high reliance on ground truth depths or even corresponding stereo pairs.
• PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching
  23 Jun 2020 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  First, we construct combination volumes on the upper levels of the pyramid and develop a cost volume fusion module to integrate them for initial disparity estimation.
• FADNet: A Fast and Accurate Network for Disparity Estimation
  24 Mar 2020 2 repositories listed
  Deep neural networks (DNNs) have achieved great success in the area of computer vision.
• Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume
  26 Dec 2019 2 repositories listed
  This can be attributed to the memory-consuming cost volume representation and inappropriate depth inference.
• Hierarchical Deep Stereo Matching on High-resolution Images
  13 Dec 2019 2 repositories listed Syntology ran 2 of 10 samples · 8 unverified
  We explore the problem of real-time stereo matching on high-res imagery.
• ASV: Accelerated Stereo Vision System
  15 Nov 2019 2 repositories listed
  The key to ASV is to exploit unique characteristics inherent to stereo vision, and apply stereo-specific optimizations, both algorithmically and computationally.
• Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
  9 Sep 2019 2 repositories listed
  However, disparity is just a byproduct of a matching process modeled by cost volume, while indirectly learning cost volume driven by disparity regression is prone to overfitting since the cost volume is under…
• OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching
  17 Aug 2019 2 repositories listed
  The 3D encoder-decoder block takes the aligned feature volume to produce the omnidirectional depth estimate with regularization on uncertain regions utilizing the global context information.
• Group-wise Correlation Stereo Network
  10 Mar 2019 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Previous works built cost volumes with cross-correlation or concatenation of left and right features across all disparity levels, and then a 2D or 3D convolutional neural network is utilized to regress the disparity…
• Hierarchical Discrete Distribution Decomposition for Match Density Estimation
  15 Dec 2018 2 repositories listed Syntology ran 2 of 14 samples · 12 unverified
  Explicit representations of the global match distributions of pixel-wise correspondences between pairs of images are desirable for uncertainty estimation and downstream applications.
• StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction
  24 Jul 2018 2 repositories listed Syntology ran 3 of 7 samples · 4 unverified · 3 pointer-only (licence)
  A first estimate of the disparity is computed in a very low resolution cost volume, then hierarchically the model re-introduces high-frequency details through a learned upsampling function that uses compact…

Syntology lines on 20 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.