mlsanityData to 7 Oct 2026

Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization

arXiv 2312.09254 ↗First posted 14 Dec 2023cs.CVcited by 18

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Abstract (arXiv)

This paper proposes a new framework for depth completion robust against domain-shifting issues. It exploits the generalization capability of modern stereo networks to face depth completion, by processing fictitious stereo pairs obtained through a virtual pattern projection paradigm. Any stereo network or traditional stereo matcher can be seamlessly plugged into our framework, allowing for the deployment of a virtual stereo setup that is future-proof against advancement in the stereo field. Exhaustive experiments on cross-domain generalization support our claims. Hence, we argue that our framework can help depth completion to reach new deployment scenarios.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). Builds on 45 of its 64 references that are in the map. First posted on arXiv 14 Dec 2023.

Builds on

45 of 64 references.

References · 45

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  2. 2020RAFT: Recurrent All-Pairs Field Transforms for Optical Flowcited by 2,385
  3. 2015A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimationcited by 878
  4. 2018MVSNet: Depth Inference for Unstructured Multi-view Stereocited by 780
  5. 2018Pyramid Stereo Matching Networkcited by 486
  6. 20193D Packing for Self-Supervised Monocular Depth Estimationcited by 437
  7. 2017End-to-End Learning of Geometry and Context for Deep Stereo Regressioncited by 359
  8. 2021RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matchingcited by 348
  9. 2017Sparsity Invariant CNNscited by 325
  10. 2022Unifying Flow, Stereo and Depth Estimationcited by 270
  11. 2019GA-Net: Guided Aggregation Net for End-to-end Stereo Matchingcited by 242
  12. 2020Non-Local Spatial Propagation Network for Depth Completioncited by 194
33 more
  1. 2023Iterative Geometry Encoding Volume for Stereo Matchingcited by 188
  2. 2017Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Imagecited by 159
  3. 2021CFNet: Cascade and Fused Cost Volume for Robust Stereo Matchingcited by 153
  4. 2015Stereo Matching by Training a Convolutional Neural Network to Compare Image Patchescited by 151
  5. 2018Learning Depth with Convolutional Spatial Propagation Networkcited by 135
  6. 2020HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matchingcited by 120
  7. 2018Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Networkcited by 109
  8. 2019Domain-invariant Stereo Matching Networkscited by 108
  9. 2018In Defense of Classical Image Processing: Fast Depth Completion on the CPUcited by 96
  10. 2018Hierarchical Discrete Distribution Decomposition for Match Density Estimationcited by 93
  11. 2023CompletionFormer: Depth Completion with Convolutions and Vision Transformerscited by 92
  12. 2019Unsupervised Depth Completion from Visual Inertial Odometrycited by 88
  13. 2017Learning Affinity via Spatial Propagation Networkscited by 79
  14. 2023NeRF-Supervised Deep Stereocited by 46
  15. 2020Learning Stereo from Single Imagescited by 44
  16. 2022GraftNet: Towards Domain Generalized Stereo Matching with a Broad-Spectrum and Task-Oriented Featurecited by 43
  17. 2022ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networkscited by 39
  18. 2018Geo-Supervised Visual Depth Predictioncited by 33
  19. 2022Deep Depth Completion from Extremely Sparse Data: A Surveycited by 33
  20. 2020Matching-space Stereo Networks for Cross-domain Generalizationcited by 32
  21. 2019Noise-Aware Unsupervised Deep Lidar-Stereo Fusioncited by 31
  22. 2019AutoDispNet: Improving Disparity Estimation With AutoMLcited by 29
  23. 2022Sparsity Agnostic Depth Completioncited by 27
  24. 2019Guided Stereo Matchingcited by 24
  25. 2021Neural Disparity Refinement for Arbitrary Resolution Stereocited by 20
  26. 2021A Surface Geometry Model for LiDAR Depth Completioncited by 18
  27. 20193D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalizationcited by 17
  28. 2021Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimationcited by 15
  29. 2019LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagerycited by 13
  30. 2021S3: Learnable Sparse Signal Superdensity for Guided Depth Estimationcited by 10
  31. 2022Unsupervised confidence for LiDAR depth maps and applicationscited by 10
  32. 2023Active Stereo Without Pattern Projectorcited by 8
  33. 2022LiDAR-guided Stereo Matching with a Spatial Consistency Constraintcited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 7; 2025: 7; 2026: 4.

18 papers.

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  1. 2024Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusioncited by 47
  2. 2024OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integrationcited by 28
  3. 2024OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterationscited by 23
  4. 2025Distilling Monocular Foundation Model for Fine-grained Depth Completioncited by 14
  5. 2024Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairscited by 11
  6. 2024RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methodscited by 8
  7. 2024Temporally Consistent Stereo Matchingcited by 8
  8. 2025Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Priorcited by 6
  9. 2025PacGDC: Label-Efficient Generalizable Depth Completion with Projection Ambiguity and Consistencycited by 4
  10. 2026StreamTTO: Efficient Online Test-Time Optimization for Video Depth Completioncited by 3
  11. 2025Propagating Sparse Depth via Depth Foundation Model for Out-of-Distribution Depth Completioncited by 2
  12. 2025SPADE: Sparsity Adaptive Depth Estimator for Zero-Shot, Real-Time, Monocular Depth Estimation in Underwater Environmentscited by 1
6 more
  1. 2026OASIS-DC: Generalizable Depth Completion via Output-level Alignment of Sparse-Integrated Monocular Pseudo Depthcited by 1
  2. 2024Active Stereo in the Wild through Virtual Pattern Projectioncited by 0
  3. 2025RGB-Phase Speckle: Cross-Scene Stereo 3D Reconstruction via Wrapped Pre-Normalizationcited by 0
  4. 2025Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrievalcited by 0
  5. 2026Need for Speed: Zero-Shot Depth Completion with Single-Step Diffusioncited by 0
  6. 2026PTC-Depth: Pose-Refined Monocular Depth Estimation with Temporal Consistencycited by 0