mlsanityData to 14 Oct 2026

BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

arXiv 1911.10127 ↗First posted 22 Nov 2019cs.CVcited by 490

Not on the map. Why?

Cited by 20 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

While deep learning has recently achieved great success on multi-view stereo (MVS), limited training data makes the trained model hard to be generalized to unseen scenarios. Compared with other computer vision tasks, it is rather difficult to collect a large-scale MVS dataset as it requires expensive active scanners and labor-intensive process to obtain ground truth 3D structures. In this paper, we introduce BlendedMVS, a novel large-scale dataset, to provide sufficient training ground truth for learning-based MVS. To create the dataset, we apply a 3D reconstruction pipeline to recover high-quality textured meshes from images of well-selected scenes. Then, we render these mesh models to color images and depth maps. To introduce the ambient lighting information during training, the rendered color images are further blended with the input images to generate the training input. Our dataset contains over 17k high-resolution images covering a variety of scenes, including cities, architectures, sculptures and small objects. Extensive experiments demonstrate that BlendedMVS endows the trained model with significantly better generalization ability compared with other MVS datasets. The dataset and pretrained models are available at urlhttps://github.com/YoYo000/BlendedMVS.

Key facts. Cited by 490 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Nov 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 27; 2022: 56; 2023: 84; 2024: 87; 2025: 119; 2026: 117.

490 papers.

Sort:

By area:

  1. 2021Vision Transformers for Dense Predictioncited by 1,803
  2. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,712
  3. 2023DUSt3R: Geometric 3D Vision Made Easycited by 1,567
  4. 2025VGGT: Visual Geometry Grounded Transformercited by 1,539
  5. 2024Depth Anything V2cited by 1,422
  6. 2024Depth Anything: Unleashing the Power of Large-Scale Unlabeled Datacited by 1,360
  7. 2021Volume Rendering of Neural Implicit Surfacescited by 996
  8. 2024Grounding Image Matching in 3D with MASt3Rcited by 983
  9. 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 964
  10. 2023ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenescited by 764
  11. 2025Depth Anything 3: Recovering the Visual Space from Any Viewscited by 692
  12. 2021KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPscited by 673
38 more
  1. 2023ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depthcited by 657
  2. 2021UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstructioncited by 646
  3. 2023DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Visioncited by 537
  4. 2022Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Taskscited by 421
  5. 2024Depth Pro: Sharp Monocular Metric Depth in Less Than a Secondcited by 404
  6. 2025Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Passcited by 367
  7. 2021Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scanscited by 336
  8. 2023OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generationcited by 326
  9. 2025π3: Permutation-Equivariant Visual Geometry Learningcited by 319
  10. 2025MapAnything: Universal Feed-Forward Metric 3D Reconstructioncited by 314
  11. 2023Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Actioncited by 302
  12. 2024MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervisioncited by 299
  13. 20243D Reconstruction with Spatial Memorycited by 277
  14. 2025MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Detailscited by 261
  15. 2025AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Viewscited by 243
  16. 2022Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstructioncited by 212
  17. 2025FLARE: Feed-forward Geometry, Appearance and Camera Estimation from Uncalibrated Sparse Viewscited by 180
  18. 2022SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Viewscited by 177
  19. 2023MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimationcited by 174
  20. 2025UniDepthV2: Universal Monocular Metric Depth Estimation Made Simplercited by 173
  21. 2022Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoisingcited by 163
  22. 2024High-quality Surface Reconstruction using Gaussian Surfelscited by 161
  23. 2025Streaming 4D Visual Geometry Transformercited by 161
  24. 2022NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)cited by 158
  25. 2023DreamEditor: Text-Driven 3D Scene Editing with Neural Fieldscited by 155
  26. 2025MUSt3R: Multi-view Network for Stereo 3D Reconstructioncited by 141
  27. 2021Improving neural implicit surfaces geometry with patch warpingcited by 137
  28. 2024Rethinking Inductive Biases for Surface Normal Estimationcited by 124
  29. 2022HF-NeuS: Improved Surface Reconstruction Using High-Frequency Detailscited by 121
  30. 2021Capturing, Reconstructing, and Simulating: the UrbanScene3D Datasetcited by 118
  31. 2021TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformerscited by 117
  32. 2024RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videoscited by 115
  33. 2024GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editingcited by 115
  34. 2022NeILF: Neural Incident Light Field for Physically-based Material Estimationcited by 105
  35. 2024SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videoscited by 102
  36. 2022Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstructioncited by 94
  37. 2025Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memorycited by 87
  38. 2022Rethinking Depth Estimation for Multi-View Stereo: A Unified Representationcited by 82

50 most cited of 490 All 490 (JSON)