SOTAVerified

3D Reconstruction

3D Reconstruction is the task of creating a 3D model or representation of an object or scene from 2D images or other data sources. The goal of 3D reconstruction is to create a virtual representation of an object or scene that can be used for a variety of purposes, such as visualization, animation, simulation, and analysis. It can be used in fields such as computer vision, robotics, and virtual reality.

Image: Gwak et al

Papers

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Showing 2126–2150 of 2326 papers

TitleStatusHype
Dense RGB-D semantic mapping with Pixel-Voxel neural network—0
Drought Stress Classification using 3D Plant Models—0
3D Reconstruction with Low Resolution, Small Baseline and High Radial Distortion Stereo Images—0
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images—0
Automatic Tool Landmark Detection for Stereo Vision in Robot-Assisted Retinal Surgery—0
A LBP Based Correspondence Identification Scheme for Multi-view Sensing Network—0
Efficient Online Surface Correction for Real-time Large-Scale 3D Reconstruction—0
Complete End-To-End Low Cost Solution To a 3D Scanning System with Integrated Turntable—0
Fast Landmark Localization with 3D Component Reconstruction and CNN for Cross-Pose Recognition—0
Sparse-then-Dense Alignment based 3D Map Reconstruction Method for Endoscopic Capsule Robots—0
Distributed Bundle Adjustment—0
Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras—0
What does 2D geometric information really tell us about 3D face shape?Code0
Learning a Multi-View Stereo MachineCode0
Multi-View Stereo with Single-View Semantic Mesh Refinement—0
Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames—0
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image—0
An Error Detection and Correction Framework for Connectomics—0
A Solution for Crime Scene Reconstruction using Time-of-Flight Cameras—0
Intensity Video Guided 4D Fusion for Improved Highly Dynamic 3D Reconstruction—0
Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading—0
Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying LightingCode0
InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop ClosureCode0
A Learning-based Framework for Hybrid Depth-from-Defocus and Stereo Matching—0
3D Sketching using Multi-View Deep Volumetric Prediction—0
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All datasetsDTUShapeNetData3D−R2N2Scan2CAD3DPeopleAria Digital Twin DatasetAria Synthetic EnvironmentsScanNet

Benchmark Results

#ModelMetricClaimedVerifiedStatus
13D-R2N2Overall0.63—Unverified
2GipumaOverall0.58—Unverified
3COLMAPOverall0.53—Unverified
4MVSNetOverall0.46—Unverified
5Vis-MVSNetOverall0.37—Unverified
6AA-RMVSNetOverall0.36—Unverified
7Cas-MVSNetOverall0.36—Unverified
8EPP-MVSNetOverall0.36—Unverified
9PatchmatchNetOverall0.35—Unverified
10CVP-MVSNetOverall0.35—Unverified
#ModelMetricClaimedVerifiedStatus
1MD-GONIoU92.8—Unverified
2POCOIoU92.6—Unverified
3FS-SDFIoU91.2—Unverified
4DP-ConvONetIoU89.5—Unverified
5ConvONetIoU88.4—Unverified
6ONetIoU76.1—Unverified
7EVolTIoU73.8—Unverified
8ZubicLioIoU65.43—Unverified
#ModelMetricClaimedVerifiedStatus
1AttSets3DIoU0.64—Unverified
2PSGN3DIoU0.64—Unverified
3OGN3DIoU0.6—Unverified
43D-R2N23DIoU0.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Scan2CADAverage Accuracy31.68—Unverified
23DMatchAverage Accuracy10.29—Unverified
#ModelMetricClaimedVerifiedStatus
1SVCPChamfer10—Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy18.2—Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy5.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)3DIoU89.4—Unverified