Disparity Estimation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

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

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 65 papers with code (162 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.

• 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.
• Blur aware metric depth estimation with multi-focus plenoptic cameras
  8 Aug 2023 3 repositories listed
  A method to calibrate the inverse model is then proposed.
• 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.
• A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
  7 Dec 2015 3 repositories listed
  By combining a flow and disparity estimation network and training it jointly, we demonstrate the first scene flow estimation with a convolutional network.
• CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
  4 Feb 2023 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 2 pointer-only (licence)
  While they attempt to increase the attack's efficiency, a further objective is to balance its effect, so that it acts on the entire image domain instead of isolated point-wise predictions.
• 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.
• 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.
• 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…
• Learning for Disparity Estimation through Feature Constancy
  4 Dec 2017 2 repositories listed
  The second part performs matching cost calculation, matching cost aggregation and disparity calculation to estimate the initial disparity using shared features.
• ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo Matching
  26 Jun 2025 1 repository listed
  In the domain of cost-volume-based stereo matching, accurate disparity estimation depends heavily on large-scale cost volumes.
• DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
  8 May 2025 1 repository listed
  However, DL-based disparity estimation methods are highly susceptible to distribution shifts and adversarial attacks, raising concerns about their reliability and generalization.
• DEFOM-Stereo: Depth Foundation Model Based Stereo Matching
  16 Jan 2025 1 repository listed Syntology ran 6 of 13 samples · 7 unverified
  Thus, to facilitate robust stereo matching with monocular depth cues, we incorporate a robust monocular relative depth model into the recurrent stereo-matching framework, building a new framework for depth foundation…
• ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity Learning
  30 Sep 2024 1 repository listed
  We introduce \textit{ImmersePro}, an innovative framework specifically designed to transform single-view videos into stereo videos.
• 3D-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric Priors
  6 Sep 2024 1 repository listed
  Furthermore, we introduce a depth map compression model to minimize geometric redundancy across views, along with a multi-view sequence ordering strategy based on a defined distance measure between views to enhance…
• Disparity Estimation Using a Quad-Pixel Sensor
  1 Sep 2024 1 repository listed
  Similar to a dual-pixel (DP) sensor, the phase shifting can be regarded as stereo disparity and utilized for depth estimation.
• Fast Edge-Aware Occlusion Detection in the Context of Multispectral Camera Arrays
  26 Aug 2024 1 repository listed
  Multispectral imaging is very beneficial in diverse applications, like healthcare and agriculture, since it can capture absorption bands of molecules in different spectral areas.
• Multispectral Snapshot Image Registration Using Learned Cross Spectral Disparity Estimation and a Deep Guided Occlusion Reconstruction Network
  17 Jun 2024 1 repository listed
  One approach for snapshot multispectral imaging, which is capable of recording multispectral videos, is by using camera arrays, where each camera records a different spectral band.
• SR-Stereo & DAPE: Stepwise Regression and Pre-trained Edges for Practical Stereo Matching
  11 Jun 2024 1 repository listed
  Inspired by the iteration-based methods, we propose a novel stepwise regression architecture.
• MoCha-Stereo: Motif Channel Attention Network for Stereo Matching
  10 Apr 2024 1 repository listed Syntology ran 16 of 17 samples · 1 unverified
  In addition, edge variations in %potential feature channels of the reconstruction error map also affect details matching, we propose the Reconstruction Error Motif Penalty (REMP) module to further refine the…
• Digging Into Normal Incorporated Stereo Matching
  28 Feb 2024 1 repository listed
  To enhance geometric consistency, especially in low-texture regions, the estimated normal map is then leveraged to calculate a local affinity matrix, providing the residual learning with information about where the…
• An evaluation of Deep Learning based stereo dense matching dataset shift from aerial images and a large scale stereo dataset
  19 Feb 2024 1 repository listed
  To address this challenge, we propose a method for generating ground-truth disparity maps directly from Light Detection and Ranging (LiDAR) and images to produce a large and diverse dataset for six aerial datasets…
• X-maps: Direct Depth Lookup for Event-based Structured Light Systems
  15 Feb 2024 1 repository listed
  We present a new approach to direct depth estimation for Spatial Augmented Reality (SAR) applications using event cameras.
• S3Net: Innovating Stereo Matching and Semantic Segmentation with a Single-Branch Semantic Stereo Network in Satellite Epipolar Imagery
  3 Jan 2024 1 repository listed
  Stereo matching and semantic segmentation are significant tasks in binocular satellite 3D reconstruction.
• Global Occlusion-Aware Transformer for Robust Stereo Matching
  22 Dec 2023 1 repository listed
  Despite the remarkable progress facilitated by learning-based stereo-matching algorithms, the performance in the ill-conditioned regions, such as the occluded regions, remains a bottleneck.
• Color Agnostic Cross-Spectral Disparity Estimation
  14 Dec 2023 1 repository listed
  The theoretical examination of the novel color agnostic method is completed by an extensive evaluation compared to state of the art including self-recorded multispectral data and a reference implementation.
• TIDE: Temporally Incremental Disparity Estimation via Pattern Flow in Structured Light System
  13 Oct 2023 1 repository listed
  Different from most former disparity estimation methods that operate in a frame-wise manner, our network acquires disparity maps in a temporally incremental way.
• Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks
  1 Jun 2023 1 repository listed
  Computer vision systems that are deployed in safety-critical applications need to quantify their output uncertainty.
• OccCasNet: Occlusion-aware Cascade Cost Volume for Light Field Depth Estimation
  28 May 2023 1 repository listed
  To address this issue and achieve a better trade-off between accuracy and efficiency, we propose an occlusion-aware cascade cost volume for LF depth (disparity) estimation.

Syntology lines on 7 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.