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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 826–850 of 2326 papers

TitleStatusHype
Frequency-Based 3D Reconstruction of Transparent and Specular Objects—0
EV-SegNet: Semantic Segmentation for Event-based Cameras—0
Fristograms: Revealing and Exploiting Light Field Internals—0
FroDO: From Detections to 3D Objects—0
FroDO: From Detections to 3D Objects—0
AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scene—0
EVI-SAM: Robust, Real-time, Tightly-coupled Event-Visual-Inertial State Estimation and 3D Dense Mapping—0
EventNeRF: Neural Radiance Fields from a Single Colour Event Camera—0
3D Reconstruction of Multiple Objects by mmWave Radar on UAV—0
From Low Field to High Value: Robust Cortical Mapping from Low-Field MRI—0
From Monocular Vision to Autonomous Action: Guiding Tumor Resection via 3D Reconstruction—0
From Point Clouds to Mesh Using Regression—0
From Points to Multi-Object 3D Reconstruction—0
From Single Image Query to Detailed 3D Reconstruction—0
FS-Depth: Focal-and-Scale Depth Estimation from a Single Image in Unseen Indoor Scene—0
Event-boosted Deformable 3D Gaussians for Dynamic Scene Reconstruction—0
Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion—0
EvaSurf: Efficient View-Aware Implicit Textured Surface Reconstruction—0
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation—0
FusionSense: Bridging Common Sense, Vision, and Touch for Robust Sparse-View Reconstruction—0
Complex Non-Rigid Motion 3D Reconstruction by Union of Subspaces—0
Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation—0
Evaluation of Flight Parameters in UAV-based 3D Reconstruction for Rooftop Infrastructure Assessment—0
Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild—0
CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention—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