/Awesome-Learning-MVS

A list of awesome learning-based multi-view stereo papers

Awesome-Learning-MVS (Methods and Datasets)

Learning-based MVS Methods

  1. Volumetric methods (SurfaceNet)
  2. Depthmap based methods (MVSNet/R-MVSNet and so on)

ICCV2017

  • SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis [paper] [Github] [T-PAMI]
  • Learned Multi-Patch Similarity [paper] [supp] (Note: Learning to measure multi-image patch similiarity, NOT end-to-end learning MVS pipeline)

ECCV2018

  • MVSNet: Depth Inference for Unstructured Multi-view Stereo [paper] [supp] [Github]

CVPR2019

  • Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference [paper] [supp] [Github]

ICCV2019

  • Point-Based Multi-View Stereo Network [paper] [supp] [Github] [T-PAMI]
  • P-MVSNet: Learning Patch-wise Matching Confidence Aggregation for Multi-view Stereo [paper]
  • MVSCRF: Learning Multi-view Stereo with Conditional Random Fields [paper]

AAAI2020

  • Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume [paper] [Github]

CVPR2020

  • Cascade Cost Volume for High-Resolutoin Multi-View Stereo and Stereo Matching [paper] [Github]

  • Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness [paper] [supp] [Github]

  • Cost Volume Pyramid Based Depth Inference for Multi-View Stereo [paper] [supp] [Github]

  • Fast-MVSNet: Sparse-to-Dense Multi-View Stereo with Learned Propagation and Gauss-Newton Refinement [paper] [supp] [Github]

  • Attention-Aware Multi-View Stereo [paper]

  • A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Dataset [paper] [Github] [data]

ECCV2020

  • Pyramid Multi-view Stereo Net with Self-adaptive View aggregation [paper] [Github]
  • Dense Hybird Recurrent Multi-view Stereo Net with Dynamic Consistency Checking [paper] [Github]

BMVC2020

  • Visibility-aware Multi-view Stereo Network [paper] [Github]

WACV2021

  • Long-range Attention Network for Multi-View Stereo [paper]

CVPR2021

  • PatchmatchNet: Learned Multi-View Patchmatch Stereo [paper] [Github]

ICCV2021

  • AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network [paper] [supp] [Github]
  • EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo [paper] [Github]
  • Just a Few Points are All You Need for Multi-view Stereo: A Novel Semi-supervised Learning Method for Multi-view Stereo [paper] [supp]

Journal Paper

  • MVSNet++: Learning Depth-Based Attention Pyramid Features for Multi-View Stereo. IEEE TIP [paper]
  • HighRes-MVSNet: A Fast Multi-View Stereo Network for Dense 3D Reconstruction From High-Resolution Images. IEEE Access [paper]
  • AACVP-MVSNet: Attention-aware cost volume pyramid based multi-view stereo network for 3D reconstruction. ISPRS Journal of Photogrammetry and Remote Sensing [paper] [Github]

Survey Paper

  • A Survey on Deep Learning Techniques for Stereo-based Depth Estimation. IEEE T-PAMI [ArXiv] [IEEE Xplore]
  • Deep Learning for Multi-view Stereo via Plane Sweep: A Survey [paper]
  • Multi-view stereo in the Deep Learning Era: A comprehensive revfiew [paper]

ArXiv Paper

  • PVSNet: Pixelwise Visibility-Aware Multi-View Stereo Network [paper]
  • DDR-Net: Learning Multi-Stage Multi-View Stereo With Dynamic Depth Range [paper] [Github]
  • Non-local Recurrent Regularization Networks for Multi-view Stereo [paper]
  • TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers [paper] [Github]

To Be Continued...

Multi-view Stereo Benchmark

Large-scale Real-world Scenes

  1. Chinese Style Architectures
  1. Western Style Architectures
  1. Aerial Dataset

Welcome to contribute to this Repo!

Update: WeChat Group