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MVDepthNet: Real-Time Multiview Depth Estimation Neural Network

https://doi.org/10.1109/3dv.2018.00037

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Pixelwise View Selection for Unstructured Multi-View Stereo

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Indoor Segmentation and Support Inference from RGBD Images

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SceneNN: A Scene Meshes Dataset with aNNotations

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Deeper Depth Prediction with Fully Convolutional Residual Networks

inferredcites →https://doi.org/10.1109/cvpr.2005.56openalex-snapshot

Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information

inferredcites →https://doi.org/10.1109/cvpr.2015.7298925openalex-snapshot

Object scene flow for autonomous vehicles

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Structure-from-Motion Revisited

inferredcites →https://doi.org/10.1109/cvpr.2017.179openalex-snapshot

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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DeMoN: Depth and Motion Network for Learning Monocular Stereo

inferredcites →https://doi.org/10.1109/cvpr.2017.695openalex-snapshot

CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction

inferredcites →https://doi.org/10.1109/cvpr.2017.699openalex-snapshot

Unsupervised Monocular Depth Estimation with Left-Right Consistency

inferredcites →https://doi.org/10.1109/cvpr.2018.00298openalex-snapshot

DeepMVS: Learning Multi-view Stereopsis

inferredcites →https://doi.org/10.1109/iccv.2011.6126513openalex-snapshot

DTAM: Dense tracking and mapping in real-time

inferredcites →https://doi.org/10.1109/iccv.2013.458openalex-snapshot

SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels

inferredcites →https://doi.org/10.1109/iccv.2015.158openalex-snapshot

Global, Dense Multiscale Reconstruction for a Billion Points

inferredcites →https://doi.org/10.1109/iccv.2015.316openalex-snapshot

FlowNet: Learning Optical Flow with Convolutional Networks

inferredcites →https://doi.org/10.1109/iccv.2017.17openalex-snapshot

End-to-End Learning of Geometry and Context for Deep Stereo Regression

inferredcites →https://doi.org/10.1109/iccvw.2017.108openalex-snapshot

Cascade Residual Learning: A Two-Stage Convolutional Neural Network for Stereo Matching

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A synchronized visual-inertial sensor system with FPGA pre-processing for accurate real-time SLAM

inferredcites →https://doi.org/10.1109/icra.2014.6907054openalex-snapshot

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inferredcites →https://doi.org/10.1109/icra.2014.6907233openalex-snapshot

REMODE: Probabilistic, monocular dense reconstruction in real time

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Real-time monocular dense mapping on aerial robots using visual-inertial fusion

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ORB-SLAM: A Versatile and Accurate Monocular SLAM System

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VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator

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Keyframe-based visual–inertial odometry using nonlinear optimization

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Adam: A Method for Stochastic Optimization

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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation

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Learning Depth from Monocular Sequence with Convolutional LSTM Network

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Scale Invariant Multi-view Depth Estimation Network with cGAN Refinement

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Monocular Stereo Learning Based on Hybrid Attention Transformer

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Edge-Aware Spatial Propagation Network for Multi-view Depth Estimation

inferred← citeshttps://doi.org/10.1007/s11263-023-01964-xopenalex-snapshot

Deep Depth from Focal Stack with Defocus Model for Camera-Setting Invariance

inferred← citeshttps://doi.org/10.1007/s11265-022-01754-7openalex-snapshot

Superpixels Using Binary Images for Monocular Visual-Inertial Dense Mapping

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Recent Advances in Image-Based 3D Reconstruction: a Photogrammetric Perspective on Conventional and Learning-Based Techniques

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Multi-view stereo in the Deep Learning Era: A comprehensive review

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Transfer2Depth: Dual Attention Network With Transfer Learning for Monocular Depth Estimation

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The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth

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Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks

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DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion

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Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry

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Volumetric Bundle Adjustment for Online Photorealistic Scene Capture

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RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo

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Virtual Occlusions Through Implicit Depth

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Real-time Scalable Dense Surfel Mapping

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DetailRefine: Towards Fine-Grained and Efficient Online Monocular 3D Reconstruction

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Geometrically Consistent Monocular Metric-Semantic 3D Mapping for Indoor Environments with Transparent and Reflecting Objects

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GeoRecon: Geometric Coherence for Online 3D Scene Reconstruction From Monocular Video

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DetailRecon: Focusing on Detailed Regions for Online Monocular 3D Reconstruction

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DENAO: Monocular Depth Estimation Network with Auxiliary Optical Flow

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Depth-Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo

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Learning-Based Multi-View Stereo: A Survey

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GDoFS: Gaussian DoF Separation for Plausible 3D Geometry in Sparse-View 3DGS

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Deep neural network for handcrafted cost-based multi-view stereo

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NeuralRoom

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GarmentGS: Point-Cloud Guided Gaussian Splatting for High-Fidelity Non-Watertight 3D Garment Reconstruction

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Deep Learning-based High-precision Depth Map Estimation from Missing Viewpoints for 360 Degree Digital Holography

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High-Precision Depth Map Estimation from Missing Viewpoints for 360-Degree Digital Holography

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Multi-UAV Collaborative Absolute Vision Positioning and Navigation: A Survey and Discussion

inferred← citeshttps://doi.org/10.3390/rs14030582openalex-snapshot

Point Cloud Validation: On the Impact of Laser Scanning Technologies on the Semantic Segmentation for BIM Modeling and Evaluation

inferred← citeshttps://doi.org/10.3390/s21196680openalex-snapshot

Enhanced Soft 3D Reconstruction Method with an Iterative Matching Cost Update Using Object Surface Consensus

inferred← citeshttps://doi.org/10.3390/s26020712openalex-snapshot

MonoPrior-Fusion: Monocular-Prior-Guided Multi-Frame Depth Estimation with Multi-Scale Geometric Fusion

inferred← citeshttps://doi.org/10.3788/ai.2025.10005openalex-snapshot

Micron scale 3D imaging with a multi-camera array

inferred← citeshttps://doi.org/10.48550/arxiv.1902.02166openalex-snapshot

Unstructured Multi-View Depth Estimation Using Mask-Based Multiplane Representation

inferred← citeshttps://doi.org/10.48550/arxiv.1904.11595openalex-snapshot

DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences

inferred← citeshttps://doi.org/10.48550/arxiv.1905.02706openalex-snapshot

Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency

inferred← citeshttps://doi.org/10.48550/arxiv.2011.13118openalex-snapshot

Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks

inferred← citeshttps://doi.org/10.48550/arxiv.2107.02191openalex-snapshot

TransformerFusion: Monocular RGB Scene Reconstruction using Transformers

inferred← citeshttps://doi.org/10.54097/8a7mdq55openalex-snapshot

Research on 3D Reconstruction Technology of Indoor Buildings Based on Depth Prediction

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