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 576600 of 2326 papers

TitleStatusHype
Patient-Specific Dynamic Digital-Physical Twin for Coronary Intervention Training: An Integrated Mixed Reality Approach0
Deep Depth Completion from Extremely Sparse Data: A Survey0
A Quantitative Evaluation of Dense 3D Reconstruction of Sinus Anatomy from Monocular Endoscopic Video0
Deep cross-domain building extraction for selective depth estimation from oblique aerial imagery0
A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light0
Dynamic NeRF: A Review0
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction0
Deep Compressed Learning for 3D Seismic Inversion0
DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction0
Application of a Modified Harmony Search Algorithm in the Optimal Arrangement of a Novel Three Dimensional Multiphase Flow Imaging Device0
AppleGrowthVision: A large-scale stereo dataset for phenological analysis, fruit detection, and 3D reconstruction in apple orchards0
3D Segmentation of Neuronal Nuclei and Cell-Type Identification using Multi-channel Information0
3D-COCO: extension of MS-COCO dataset for image detection and 3D reconstruction modules0
3D Scene Creation and Rendering via Rough Meshes: A Lighting Transfer Avenue0
A Plug-and-Play Algorithm for 3D Video Super-Resolution of Single-Photon LiDAR data0
3D Mesh Editing using Masked LRMs0
DUST: Dual Union of Spatio-Temporal Subspaces for Monocular Multiple Object 3D Reconstruction0
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model0
A Pixel Is Worth More Than One 3D Gaussians in Single-View 3D Reconstruction0
DARCS: Memory-Efficient Deep Compressed Sensing Reconstruction for Acceleration of 3D Whole-Heart Coronary MR Angiography0
DARB-Splatting: Generalizing Splatting with Decaying Anisotropic Radial Basis Functions0
A Performance Evaluation of Local Features for Image Based 3D Reconstruction0
3D Scattering Tomography by Deep Learning with Architecture Tailored to Cloud Fields0
Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization0
D^2USt3R: Enhancing 3D Reconstruction with 4D Pointmaps for Dynamic Scenes0
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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