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 876–900 of 2326 papers

TitleStatusHype
An Error Detection and Correction Framework for Connectomics—0
Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies—0
GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learning—0
Geon3D: Exploiting 3D Shape Bias towards Building Robust Machine Vision—0
Corner Detection Based on Multi-directional Gabor Filters with Multi-scales—0
An Efficient Protocol for Distributed Column Subset Selection in the Entrywise _p Norm—0
An Efficient Planar Bundle Adjustment Algorithm—0
3D Reconstruction with Fast Dipole Sums—0
3D Instance Segmentation via Multi-Task Metric Learning—0
Structure from Motion-based Motion Estimation and 3D Reconstruction of Unknown Shaped Space Debris—0
Geometry Processing of Conventionally Produced Mouse Brain Slice Images—0
Coral Model Generation from Single Images for Virtual Reality Applications—0
Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images—0
An Efficient Background Term for 3D Reconstruction and Tracking With Smooth Surface Models—0
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition—0
Geometry and Perception Guided Gaussians for Multiview-consistent 3D Generation from a Single Image—0
Geometric Scene Parsing with Hierarchical LSTM—0
Geometric Prior-Guided Neural Implicit Surface Reconstruction in the Wild—0
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale—0
An Efficient Approach for Muscle Segmentation and 3D Reconstruction Using Keypoint Tracking in MRI Scan—0
3D Reconstruction using Structured Light from off-the-shelf components—0
Geodesic-HOF: 3D Reconstruction Without Cutting Corners—0
Controllable GAN Synthesis Using Non-Rigid Structure-from-Motion—0
Continuous 3D Perception Model with Persistent State—0
GenHMR: Generative Human Mesh Recovery—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