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OASIS: A Large-Scale Dataset for Single Image 3D in the Wild

arXiv 2007.13215 ↗First posted 26 Jul 2020cs.CVcited by 62

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Abstract (arXiv)

Single-view 3D is the task of recovering 3D properties such as depth and surface normals from a single image. We hypothesize that a major obstacle to single-image 3D is data. We address this issue by presenting Open Annotations of Single Image Surfaces (OASIS), a dataset for single-image 3D in the wild consisting of annotations of detailed 3D geometry for 140,000 images. We train and evaluate leading models on a variety of single-image 3D tasks. We expect OASIS to be a useful resource for 3D vision research. Project site: https://pvl.cs.princeton.edu/OASIS.

Key facts. Cited by 62 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 Jul 2020.

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Citing papers per year: 2021: 8; 2022: 10; 2023: 8; 2024: 13; 2025: 14; 2026: 9.

62 papers.

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  1. 2024Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimationcited by 395
  2. 2023Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Imagecited by 365
  3. 2021Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scanscited by 336
  4. 2023Repurposing Diffusion-Based Image Generators for Monocular Depth Estimationcited by 327
  5. 2024MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervisioncited by 299
  6. 2024Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Predictioncited by 166
  7. 2024Rethinking Inductive Biases for Surface Normal Estimationcited by 124
  8. 20234M: Massively Multimodal Masked Modelingcited by 120
  9. 20223D Common Corruptions and Data Augmentationcited by 119
  10. 2021Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Mergingcited by 104
  11. 2024Fine-Tuning Image-Conditional Diffusion Models is Easier than You Thinkcited by 83
  12. 2025Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysiscited by 78
38 more
  1. 2025WorldMirror: Universal 3D World Reconstruction with Any-Prior Promptingcited by 67
  2. 2022Hierarchical Normalization for Robust Monocular Depth Estimationcited by 52
  3. 20244M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalitiescited by 52
  4. 2021Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Predictioncited by 48
  5. 2025Dens3R: A Foundation Model for 3D Geometry Predictioncited by 46
  6. 2026HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worldscited by 44
  7. 2022Towards Accurate Reconstruction of 3D Scene Shape from A Single Monocular Imagecited by 42
  8. 2021Planar Surface Reconstruction from Sparse Viewscited by 40
  9. 2021SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Datacited by 38
  10. 2021Pano3D: A Holistic Benchmark and a Solid Baseline for 360o Depth Estimationcited by 37
  11. 2022Understanding 3D Object Articulation in Internet Videoscited by 36
  12. 2025LBM: Latent Bridge Matching for Fast Image-to-Image Translationcited by 36
  13. 2023Booster: a Benchmark for Depth from Images of Specular and Transparent Surfacescited by 33
  14. 2021Instance-wise Occlusion and Depth Orders in Natural Scenescited by 31
  15. 2023FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimatorscited by 31
  16. 2024BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimationcited by 28
  17. 2022PlaneFormers: From Sparse View Planes to 3D Reconstructioncited by 26
  18. 2024SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillationcited by 21
  19. 2023DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibriumcited by 16
  20. 2022A Survey on RGB-D Datasetscited by 11
  21. 2022Towards 3D Scene Reconstruction from Locally Scale-Aligned Monocular Video Depthcited by 11
  22. 2024The Third Monocular Depth Estimation Challengecited by 10
  23. 2026MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sourcescited by 10
  24. 2025QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edgecited by 8
  25. 2025The Fourth Monocular Depth Estimation Challengecited by 8
  26. 20212.5D Visual Relationship Detectioncited by 7
  27. 2022Scaling up Multi-domain Semantic Segmentation with Sentence Embeddingscited by 6
  28. 2023Robust Geometry-Preserving Depth Estimation Using Differentiable Renderingcited by 6
  29. 2025Towards In-the-wild 3D Plane Reconstruction from a Single Imagecited by 6
  30. 2025MVInverse: Feed-forward Multi-view Inverse Rendering in Secondscited by 6
  31. 2024FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimationcited by 5
  32. 2026AnyDepth: Depth Estimation Made Easycited by 5
  33. 2022Globally Consistent Video Depth and Pose Estimation with Efficient Test-Time Trainingcited by 4
  34. 2022Investigating Neural Architectures by Synthetic Dataset Designcited by 3
  35. 2024The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusioncited by 3
  36. 2024Floating No More: Object-Ground Reconstruction from a Single Imagecited by 3
  37. 2024A review of handcrafted and deep radiomics in neurological diseases: transitioning from oncology to clinical neuroimagingcited by 2
  38. 2025A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimationcited by 2

50 most cited of 62 All 62 (JSON)