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 1976–2000 of 2326 papers

TitleStatusHype
Street-view change detection with deconvolutional networks—0
Consistent Recurrent Neural Networks for 3D Neuron Segmentation—0
Consistent sets of lines with no colorful incidence—0
Contact Area Detector using Cross View Projection Consistency for COVID-19 Projects—0
Continuous 3D Perception Model with Persistent State—0
Controllable GAN Synthesis Using Non-Rigid Structure-from-Motion—0
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale—0
StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects—0
StructGS: Adaptive Spherical Harmonics and Rendering Enhancements for Superior 3D Gaussian Splatting—0
Coral Model Generation from Single Images for Virtual Reality Applications—0
Corner Detection Based on Multi-directional Gabor Filters with Multi-scales—0
Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies—0
Structural Causal 3D Reconstruction—0
CountingFruit: Real-Time 3D Fruit Counting with Language-Guided Semantic Gaussian Splatting—0
Creating a Digital Twin of Spinal Surgery: A Proof of Concept—0
Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction—0
Critical Configurations For Radial Distortion Self-Calibration—0
CropCraft: Inverse Procedural Modeling for 3D Reconstruction of Crop Plants—0
3D Building Reconstruction From Monocular Remote Sensing Images—0
Structured 3D Features for Reconstructing Controllable Avatars—0
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections—0
Crowd-Sourced NeRF: Collecting Data from Production Vehicles for 3D Street View Reconstruction—0
Structure from Articulated Motion: Accurate and Stable Monocular 3D Reconstruction without Training Data—0
Cryo-Electron Ptychography: Applications and Potential in Biological Characterisation—0
CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders—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