mlsanityData to 14 Oct 2026

The Fourth Monocular Depth Estimation Challenge

arXiv 2504.17787 ↗First posted 24 Apr 2025cs.CVcited by 8

Not on the map. Why?

Abstract (arXiv)

This paper presents the results of the fourth edition of the Monocular Depth Estimation Challenge (MDEC), which focuses on zero-shot generalization to the SYNS-Patches benchmark, a dataset featuring challenging environments in both natural and indoor settings. In this edition, we revised the evaluation protocol to use least-squares alignment with two degrees of freedom to support disparity and affine-invariant predictions. We also revised the baselines and included popular off-the-shelf methods: Depth Anything v2 and Marigold. The challenge received a total of 24 submissions that outperformed the baselines on the test set; 10 of these included a report describing their approach, with most leading methods relying on affine-invariant predictions. The challenge winners improved the 3D F-Score over the previous edition's best result, raising it from 22.58% to 23.05%.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 114 of its 139 references that are in the map. First posted on arXiv 24 Apr 2025.

Builds on

114 of 139 references.

References · 114

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38 more
  1. 2016Unsupervised Monocular Depth Estimation with Left-Right Consistencycited by 820
  2. 2017Unsupervised Learning of Depth and Ego-Motion from Videocited by 782
  3. 2018MegaDepth: Learning Single-View Depth Prediction from Internet Photoscited by 737
  4. 2018Deep Ordinal Regression Network for Monocular Depth Estimationcited by 723
  5. 2023ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depthcited by 657
  6. 2020Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understandingcited by 604
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  8. 2014Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecturecited by 483
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  11. 2016Deeper Depth Prediction with Fully Convolutional Residual Networkscited by 403
  12. 2024Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimationcited by 395
  13. 2024UniDepth: Universal Monocular Metric Depth Estimationcited by 382
  14. 2016Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescuecited by 368
  15. 2023Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Imagecited by 365
  16. 2020Virtual KITTI 2cited by 353
  17. 2018GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Posecited by 342
  18. 2021Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scanscited by 336
  19. 2024MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervisioncited by 299
  20. 2024GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Imagecited by 286
  21. 2019Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Videocited by 244
  22. 2019DIODE: A Dense Indoor and Outdoor DEpth Datasetcited by 240
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  25. 2025Video Depth Anything: Consistent Depth Estimation for Super-Long Videoscited by 207
  26. 2020D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometrycited by 206
  27. 2024DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videoscited by 204
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  33. 2019Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Camerascited by 170
  34. 2024Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Predictioncited by 166
  35. 2018Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstructioncited by 159
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  37. 2017Learning Depth from Monocular Videos using Direct Methodscited by 154
  38. 2022NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimationcited by 153

50 most cited of 114 All 114 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 5.

8 papers.

  1. 2025NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfacescited by 3
  2. 2025ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Drivingcited by 1
  3. 2025Boosting Monocular Metric Depth Estimation via Bokeh Renderingcited by 1
  4. 2026StereoVGGT: A Training-Free Visual Geometry Transformer for Stereo Visioncited by 1
  5. 2026LuMon: A Comprehensive Benchmark and Development Suite with Novel Datasets for Lunar Monocular Depth Estimationcited by 1
  6. 2026DepthAgent: Towards Better Universal Depth Estimation via Sample-wise Expert Selectioncited by 1
  7. 2026ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Devicecited by 1
  8. 2026Bayesian Monocular Depth Refinement via Neural Radiance Fieldscited by 0