mlsanityData to 14 Oct 2026

DeepMVS: Learning Multi-view Stereopsis

arXiv 1804.00650 ↗First posted 2 Apr 2018cs.CVcited by 277

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Abstract (arXiv)

We present DeepMVS, a deep convolutional neural network (ConvNet) for multi-view stereo reconstruction. Taking an arbitrary number of posed images as input, we first produce a set of plane-sweep volumes and use the proposed DeepMVS network to predict high-quality disparity maps. The key contributions that enable these results are (1) supervised pretraining on a photorealistic synthetic dataset, (2) an effective method for aggregating information across a set of unordered images, and (3) integrating multi-layer feature activations from the pre-trained VGG-19 network. We validate the efficacy of DeepMVS using the ETH3D Benchmark. Our results show that DeepMVS compares favorably against state-of-the-art conventional MVS algorithms and other ConvNet based methods, particularly for near-textureless regions and thin structures.

Key facts. Cited by 277 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Apr 2018.

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Citing papers per year: 2021: 33; 2022: 43; 2023: 45; 2024: 40; 2025: 35; 2026: 81.

277 papers.

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  1. 2025VGGT: Visual Geometry Grounded Transformercited by 1,539
  2. 2025Depth Anything 3: Recovering the Visual Space from Any Viewscited by 692
  3. 2021UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstructioncited by 646
  4. 2022Point-NeRF: Point-based Neural Radiance Fieldscited by 503
  5. 2022MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstructioncited by 470
  6. 2023Neuralangelo: High-Fidelity Neural Surface Reconstructioncited by 467
  7. 2024Depth Pro: Sharp Monocular Metric Depth in Less Than a Secondcited by 404
  8. 2023Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priorscited by 397
  9. 2025MapAnything: Universal Feed-Forward Metric 3D Reconstructioncited by 314
  10. 2024MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervisioncited by 299
  11. 2022Unifying Flow, Stereo and Depth Estimationcited by 275
  12. 2025MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Detailscited by 261
38 more
  1. 2021Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenescited by 190
  2. 2021The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depthcited by 190
  3. 2025Streaming 4D Visual Geometry Transformercited by 161
  4. 2023Infinite Photorealistic Worlds using Procedural Generationcited by 147
  5. 2024MeshLRM: Large Reconstruction Model for High-Quality Meshescited by 139
  6. 2023NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidancecited by 138
  7. 2024Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Imagecited by 135
  8. 2024Rethinking Inductive Biases for Surface Normal Estimationcited by 124
  9. 2022NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstructioncited by 100
  10. 2024Learning Temporally Consistent Video Depth from Video Diffusion Priorscited by 100
  11. 2021NeuTex: Neural Texture Mapping for Volumetric Neural Renderingcited by 98
  12. 2024GES: Generalized Exponential Splatting for Efficient Radiance Field Renderingcited by 92
  13. 2025Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memorycited by 87
  14. 2023A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?cited by 84
  15. 2022SimpleRecon: 3D Reconstruction Without 3D Convolutionscited by 83
  16. 2022Rethinking Depth Estimation for Multi-View Stereo: A Unified Representationcited by 82
  17. 2022Neural 3D Reconstruction in the Wildcited by 79
  18. 2023StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fieldscited by 79
  19. 2021Learning Signed Distance Field for Multi-view Surface Reconstructioncited by 76
  20. 2022SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimationcited by 76
  21. 2025WorldMirror: Universal 3D World Reconstruction with Any-Prior Promptingcited by 67
  22. 2022Multi-Frame Self-Supervised Depth with Transformerscited by 64
  23. 2024Depth Any Video with Scalable Synthetic Datacited by 57
  24. 2023VA-DepthNet: A Variational Approach to Single Image Depth Predictioncited by 54
  25. 2025Efficiently Reconstructing Dynamic Scenes One D4RT at a Timecited by 54
  26. 2021Multi-view 3D Reconstruction with Transformercited by 52
  27. 2024VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstructioncited by 50
  28. 2021Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometrycited by 46
  29. 2026NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videoscited by 46
  30. 2021MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutionscited by 43
  31. 2023ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fieldscited by 43
  32. 2021Full Surround Monodepth from Multiple Camerascited by 41
  33. 2023NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Cloudscited by 41
  34. 2023PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimationcited by 41
  35. 2021Planar Surface Reconstruction from Sparse Viewscited by 40
  36. 2024Textured Gaussians for Enhanced 3D Scene Appearance Modelingcited by 40
  37. 2021TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereocited by 39
  38. 2022FWD: Real-time Novel View Synthesis with Forward Warping and Depthcited by 39

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