mlsanityData to 7 Oct 2026

Learned Multi-Patch Similarity

arXiv 1703.08836 ↗First posted 26 Mar 2017cs.CV cs.LGcited by 24

Not on the map. Why?

Abstract (arXiv)

Estimating a depth map from multiple views of a scene is a fundamental task in computer vision. As soon as more than two viewpoints are available, one faces the very basic question how to measure similarity across >2 image patches. Surprisingly, no direct solution exists, instead it is common to fall back to more or less robust averaging of two-view similarities. Encouraged by the success of machine learning, and in particular convolutional neural networks, we propose to learn a matching function which directly maps multiple image patches to a scalar similarity score. Experiments on several multi-view datasets demonstrate that this approach has advantages over methods based on pairwise patch similarity.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Mar 2017.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 6; 2022: 8; 2023: 5; 2024: 3; 2025: 2.

24 papers.

Sort:

  1. 2021UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstructioncited by 643
  2. 2022MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstructioncited by 467
  3. 2024DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshingcited by 136
  4. 2021Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networkscited by 101
  5. 2022Context-Enhanced Stereo Transformercited by 37
  6. 2021Neural Radiance Fields Approach to Deep Multi-View Photometric Stereocited by 25
  7. 2022ALTO: Alternating Latent Topologies for Implicit 3D Reconstructioncited by 21
  8. 2023SparseSat-NeRF: Dense Depth Supervised Neural Radiance Fields for Sparse Satellite Imagescited by 18
  9. 2023RayMVSNet++: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereocited by 15
  10. 2021Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matchingcited by 14
  11. 2022Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Functioncited by 14
  12. 2022Deep Learning Methods for Calibrated Photometric Stereo and Beyondcited by 10
12 more
  1. 2022Multi-View Reconstruction using Signed Ray Distance Functions (SRDF)cited by 9
  2. 2022SegNeRF: 3D Part Segmentation with Neural Radiance Fieldscited by 9
  3. 2021Non-local Recurrent Regularization Networks for Multi-view Stereocited by 6
  4. 2025An Evaluation of DUSt3R/MASt3R/VGGT 3D Reconstruction on Photogrammetric Aerial Blockscited by 5
  5. 2023DeepSim-Nets: Deep Similarity Networks for Stereo Image Matchingcited by 3
  6. 2023Disjoint Pose and Shape for 3D Face Reconstructioncited by 3
  7. 2024SDL-MVS: View Space and Depth Deformable Learning Paradigm for Multi-View Stereo Reconstruction in Remote Sensingcited by 3
  8. 2022RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereocited by 1
  9. 2024Object Pose Estimation Using Implicit Representation For Transparent Objectscited by 1
  10. 2021FaSS-MVS -- Fast Multi-View Stereo with Surface-Aware Semi-Global Matching from UAV-borne Monocular Imagerycited by 0
  11. 2023Revisiting Stereo Triangulation in UAV Distance Estimationcited by 0
  12. 2025Multi-view dense image matching with similarity learning and geometry priorscited by 0