mlsanityData to 7 Oct 2026

DIODE: A Dense Indoor and Outdoor DEpth Dataset

arXiv 1908.00463 ↗First posted 1 Aug 2019cs.CVcited by 236

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Cited by 61 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We introduce DIODE, a dataset that contains thousands of diverse high resolution color images with accurate, dense, long-range depth measurements. DIODE (Dense Indoor/Outdoor DEpth) is the first public dataset to include RGBD images of indoor and outdoor scenes obtained with one sensor suite. This is in contrast to existing datasets that focus on just one domain/scene type and employ different sensors, making generalization across domains difficult. The dataset is available for download at http://diode-dataset.org

Key facts. Cited by 236 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Aug 2019.

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Citing papers per year: 2021: 12; 2022: 18; 2023: 22; 2024: 55; 2025: 71; 2026: 58.

236 papers.

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  1. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
  2. 2024Depth Anything V2cited by 1,385
  3. 2024Depth Anything: Unleashing the Power of Large-Scale Unlabeled Datacited by 1,346
  4. 2025Qwen-Image Technical Reportcited by 973
  5. 2023ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depthcited by 646
  6. 2025Depth Anything 3: Recovering the Visual Space from Any Viewscited by 626
  7. 2024Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimationcited by 389
  8. 2024UniDepth: Universal Monocular Metric Depth Estimationcited by 375
  9. 2023Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Imagecited by 357
  10. 2023Repurposing Diffusion-Based Image Generators for Monocular Depth Estimationcited by 323
  11. 2024MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervisioncited by 290
  12. 2024GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Imagecited by 283
38 more
  1. 2025MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Detailscited by 250
  2. 2025Video Depth Anything: Consistent Depth Estimation for Super-Long Videoscited by 202
  3. 2023Denoising Diffusion Bridge Modelscited by 171
  4. 2024Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Predictioncited by 163
  5. 2022Pretraining is All You Need for Image-to-Image Translationcited by 160
  6. 2024StableNormal: Reducing Diffusion Variance for Stable and Sharp Normalcited by 153
  7. 2025WorldScore: A Unified Evaluation Benchmark for World Generationcited by 143
  8. 20234M: Massively Multimodal Masked Modelingcited by 118
  9. 2022P3Depth: Monocular Depth Estimation with a Piecewise Planarity Priorcited by 106
  10. 2021Multi-Task Self-Training for Learning General Representationscited by 85
  11. 2024Fine-Tuning Image-Conditional Diffusion Models is Easier than You Thinkcited by 82
  12. 2025Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysiscited by 78
  13. 2024DepthFM: Fast Monocular Depth Estimation with Flow Matchingcited by 76
  14. 2024What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?cited by 74
  15. 2023iDisc: Internal Discretization for Monocular Depth Estimationcited by 71
  16. 2021Ground-aware Monocular 3D Object Detection for Autonomous Drivingcited by 65
  17. 2025UniK3D: Universal Camera Monocular 3D Estimationcited by 60
  18. 2024ControlVAR: Exploring Controllable Visual Autoregressive Modelingcited by 58
  19. 2024LightIt: Illumination Modeling and Control for Diffusion Modelscited by 56
  20. 20244M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalitiescited by 52
  21. 2022Hierarchical Normalization for Robust Monocular Depth Estimationcited by 51
  22. 2023Generative Models: What Do They Know? Do They Know Things? Let's Find Out!cited by 50
  23. 2021Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Predictioncited by 48
  24. 2024Diffusion Bridge Implicit Modelscited by 47
  25. 2025Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformerscited by 47
  26. 2024ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimationcited by 45
  27. 2022Towards Accurate Reconstruction of 3D Scene Shape from A Single Monocular Imagecited by 42
  28. 2024One Diffusion to Generate Them Allcited by 41
  29. 2026Image Generators are Generalist Vision Learnerscited by 40
  30. 2025Spatial-SSRL: Enhancing Spatial Understanding via Self-Supervised Reinforcement Learningcited by 38
  31. 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Taskscited by 37
  32. 2025LBM: Latent Bridge Matching for Fast Image-to-Image Translationcited by 36
  33. 2025GeometryCrafter: Consistent Geometry Estimation for Open-world Videos with Diffusion Priorscited by 36
  34. 2022Guided Co-Modulated GAN for 360deg Field of View Extrapolationcited by 32
  35. 2025Depth Anything with Any Priorcited by 32
  36. 2023Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Modelcited by 29
  37. 2024CAR: Controllable Autoregressive Modeling for Visual Generationcited by 29
  38. 2023Atlantis: Enabling Underwater Depth Estimation with Stable Diffusioncited by 28

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