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 2201–2250 of 2326 papers

TitleStatusHype
Semi-Dense 3D Semantic Mapping from Monocular SLAM—0
De-noising, Stabilizing and Completing 3D Reconstructions On-the-go using Plane Priors—0
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement LearningCode0
ORBSLAM-based Endoscope Tracking and 3D Reconstruction—0
Unconstrained Two-parallel-plane Model for Focused Plenoptic Cameras Calibration—0
Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees—0
Feature Descriptors for Tracking by Detection: a Benchmark—0
Multi-body Non-rigid Structure-from-Motion—0
Boundary conditions for Shape from Shading—0
A Representation Theory Perspective on Simultaneous Alignment and Classification—0
Automatic 3D Reconstruction for Symmetric Shapes—0
3DFS: Deformable Dense Depth Fusion and Segmentation for Object Reconstruction from a Handheld Camera—0
Structure-From-Motion RevisitedCode0
Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction—0
Automated 3D Face Reconstruction From Multiple Images Using Quality Measures—0
Spatiotemporal Bundle Adjustment for Dynamic 3D Reconstruction—0
Inextensible Non-Rigid Shape-From-Motion by Second-Order Cone Programming—0
Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling—0
Piecewise-Planar 3D Approximation From Wide-Baseline Stereo—0
3D Reconstruction of Transparent Objects With Position-Normal Consistency—0
Efficient 3D Room Shape Recovery From a Single Panorama—0
Sparse to Dense 3D Reconstruction From Rolling Shutter Images—0
Multicamera Calibration From Visible and Mirrored Epipoles—0
Unbiased Photometric Stereo for Colored Surfaces: A Variational Approach—0
Multiview Rectification of Folded Documents—0
Self-expressive Dictionary Learning for Dynamic 3D Reconstruction—0
UAV-based Autonomous Image Acquisition with Multi-View Stereo Quality Assurance by Confidence Prediction—0
Multiview Differential Geometry of Curves—0
Automatic 3D Reconstruction of Manifold Meshes via Delaunay Triangulation and Mesh Sweeping—0
Unsupervised single-particle deep clustering via statistical manifold learning—0
Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency ConstraintCode0
Geometric Scene Parsing with Hierarchical LSTM—0
BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integrationCode1
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object ReconstructionCode1
SMASH: Physics-guided Reconstruction of Collisions from VideosCode0
3DMatch: Learning Local Geometric Descriptors from RGB-D ReconstructionsCode1
An Approach for Noise Removal on Depth Images—0
Do We Need Binary Features for 3D Reconstruction?—0
Virtual Rephotography: Novel View Prediction Error for 3D Reconstruction—0
On the Diagnostic of Road Pathway Visibility—0
Multistage SFM: A Coarse-to-Fine Approach for 3D Reconstruction—0
3D Reconstruction of Crime Scenes and Design Considerations for an Interactive Investigation Tool—0
Single-View Reconstruction via Joint Analysis of Image and Shape CollectionsCode0
Oriented Light-Field Windows for Scene Flow—0
Sparse Dynamic 3D Reconstruction From Unsynchronized Videos—0
Towards Pointless Structure From Motion: 3D Reconstruction and Camera Parameters From General 3D Curves—0
Photogeometric Scene Flow for High-Detail Dynamic 3D Reconstruction—0
High Quality Structure From Small Motion for Rolling Shutter Cameras—0
Photometric Stereo in a Scattering Medium—0
Massively Parallel Multiview Stereopsis by Surface Normal DiffusionCode0
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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