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

Showing 21512175 of 2326 papers

TitleStatusHype
Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying LightingCode0
A Learning-based Framework for Hybrid Depth-from-Defocus and Stereo Matching0
InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop ClosureCode0
3D Sketching using Multi-View Deep Volumetric Prediction0
Compact Model Representation for 3D Reconstruction0
3D Shape Reconstruction from Sketches via Multi-view Convolutional NetworksCode0
"Maximizing rigidity" revisited: a convex programming approach for generic 3D shape reconstruction from multiple perspective views0
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered ScenesCode0
Pixel-variant Local Homography for Fisheye Stereo Rectification Minimizing Resampling Distortion0
Fast 3D Reconstruction of Faces With Glasses0
Semantic Multi-View Stereo: Jointly Estimating Objects and Voxels0
Semantically Coherent Co-Segmentation and Reconstruction of Dynamic Scenes0
KillingFusion: Non-Rigid 3D Reconstruction Without Correspondences0
Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization0
An Efficient Background Term for 3D Reconstruction and Tracking With Smooth Surface Models0
DUST: Dual Union of Spatio-Temporal Subspaces for Monocular Multiple Object 3D Reconstruction0
Semi-Calibrated Near Field Photometric Stereo0
Predicting Behaviors of Basketball Players From First Person Videos0
Polarimetric Multi-View Stereo0
A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light0
Face Normals "In-The-Wild" Using Fully Convolutional Networks0
Semantically Informed Multiview Surface Refinement0
A comparative study of breast surface reconstruction for aesthetic outcome assessment0
Superhuman Accuracy on the SNEMI3D Connectomics ChallengeCode0
Weakly supervised 3D Reconstruction with Adversarial ConstraintCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
13D-R2N2Overall0.63Unverified
2GipumaOverall0.58Unverified
3COLMAPOverall0.53Unverified
4MVSNetOverall0.46Unverified
5Vis-MVSNetOverall0.37Unverified
6AA-RMVSNetOverall0.36Unverified
7Cas-MVSNetOverall0.36Unverified
8EPP-MVSNetOverall0.36Unverified
9PatchmatchNetOverall0.35Unverified
10CVP-MVSNetOverall0.35Unverified
#ModelMetricClaimedVerifiedStatus
1MD-GONIoU92.8Unverified
2POCOIoU92.6Unverified
3FS-SDFIoU91.2Unverified
4DP-ConvONetIoU89.5Unverified
5ConvONetIoU88.4Unverified
6ONetIoU76.1Unverified
7EVolTIoU73.8Unverified
8ZubicLioIoU65.43Unverified
#ModelMetricClaimedVerifiedStatus
1AttSets3DIoU0.64Unverified
2PSGN3DIoU0.64Unverified
3OGN3DIoU0.6Unverified
43D-R2N23DIoU0.56Unverified
#ModelMetricClaimedVerifiedStatus
1Scan2CADAverage Accuracy31.68Unverified
23DMatchAverage Accuracy10.29Unverified
#ModelMetricClaimedVerifiedStatus
1SVCPChamfer10Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy18.2Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy5.7Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)3DIoU89.4Unverified