mlsanityData to 14 Oct 2026

Single-Image Depth Perception in the Wild

arXiv 1604.03901 ↗First posted 13 Apr 2016cs.CV cs.AIcited by 180

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Abstract (arXiv)

This paper studies single-image depth perception in the wild, i.e., recovering depth from a single image taken in unconstrained settings. We introduce a new dataset "Depth in the Wild" consisting of images in the wild annotated with relative depth between pairs of random points. We also propose a new algorithm that learns to estimate metric depth using annotations of relative depth. Compared to the state of the art, our algorithm is simpler and performs better. Experiments show that our algorithm, combined with existing RGB-D data and our new relative depth annotations, significantly improves single-image depth perception in the wild.

Key facts. Cited by 180 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Apr 2016.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 42; 2022: 33; 2023: 28; 2024: 39; 2025: 25; 2026: 13.

180 papers.

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  1. 2024Depth Anything V2cited by 1,422
  2. 2024Depth Anything: Unleashing the Power of Large-Scale Unlabeled Datacited by 1,360
  3. 2024BLINK: Multimodal Large Language Models Can See but Not Perceivecited by 550
  4. 2024Depth Pro: Sharp Monocular Metric Depth in Less Than a Secondcited by 404
  5. 2024Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimationcited by 395
  6. 2023Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Imagecited by 365
  7. 2021Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scanscited by 336
  8. 2023Repurposing Diffusion-Based Image Generators for Monocular Depth Estimationcited by 327
  9. 2024MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervisioncited by 299
  10. 2023SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesiscited by 247
  11. 2021The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depthcited by 190
  12. 2023MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimationcited by 174
38 more
  1. 2022NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360deg Viewscited by 148
  2. 2021Putting People in their Place: Monocular Regression of 3D People in Depthcited by 142
  3. 2021MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesiscited by 133
  4. 2025Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priorscited by 120
  5. 2021Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Mergingcited by 104
  6. 2022Learning to generate line drawings that convey geometry and semanticscited by 83
  7. 2024Fine-Tuning Image-Conditional Diffusion Models is Easier than You Thinkcited by 83
  8. 2021Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescuecited by 72
  9. 2024Perception Tokens Enhance Visual Reasoning in Multimodal Language Modelscited by 71
  10. 2021RGB-D Local Implicit Function for Depth Completion of Transparent Objectscited by 64
  11. 2021Consistent Depth of Moving Objects in Videocited by 56
  12. 2023VA-DepthNet: A Variational Approach to Single Image Depth Predictioncited by 54
  13. 2022Hierarchical Normalization for Robust Monocular Depth Estimationcited by 52
  14. 2022SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenescited by 52
  15. 2023All in Tokens: Unifying Output Space of Visual Tasks via Soft Tokencited by 52
  16. 2024MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priorscited by 51
  17. 2021Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Predictioncited by 48
  18. 2021SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpaintingcited by 48
  19. 2024Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Failcited by 47
  20. 2023EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimationcited by 43
  21. 2022Towards Accurate Reconstruction of 3D Scene Shape from A Single Monocular Imagecited by 42
  22. 2021Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objectscited by 39
  23. 2022FWD: Real-time Novel View Synthesis with Forward Warping and Depthcited by 39
  24. 2024Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentationcited by 38
  25. 2023Music-Driven Group Choreographycited by 37
  26. 2023HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modelingcited by 36
  27. 2021Single Image Depth Estimation: An Overviewcited by 35
  28. 2023Booster: a Benchmark for Depth from Images of Specular and Transparent Surfacescited by 33
  29. 2021Instance-wise Occlusion and Depth Orders in Natural Scenescited by 31
  30. 2023FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimatorscited by 31
  31. 2024BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimationcited by 28
  32. 2025MVSAnywhere: Zero-Shot Multi-View Stereocited by 26
  33. 2023DaRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptationcited by 25
  34. 2024KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Modelscited by 24
  35. 2022From colouring-in to pointillism: revisiting semantic segmentation supervisioncited by 22
  36. 2021Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidancecited by 19
  37. 2021Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Reportcited by 19
  38. 2021Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised Learningcited by 19

50 most cited of 180 All 180 (JSON)