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 926–950 of 2326 papers

TitleStatusHype
Gromov-Wasserstein Problem with Cyclic Symmetry—0
ErpGS: Equirectangular Image Rendering enhanced with 3D Gaussian Regularization—0
ERF: Explicit Radiance Field Reconstruction From Scratch—0
GS2E: Gaussian Splatting is an Effective Data Generator for Event Stream Generation—0
Equivalent Constraints for Two-View Geometry: Pose Solution/Pure Rotation Identification and 3D Reconstruction—0
Advanced 3D Imaging Approach to TSV/TGV Metrology and Inspection Using Only Optical Microscopy—0
GSIR: Generalizable 3D Shape Interpretation and Reconstruction—0
Bundle Adjustment Revisited—0
Adopting an Unconstrained Ray Model in Light-Field Cameras for 3D Shape Reconstruction—0
Enhancing Neural Rendering Methods with Image Augmentations—0
Building with Drones: Accurate 3D Facade Reconstruction using MAVs—0
GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity—0
GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinement—0
Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction—0
GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface Reconstruction—0
3D Reconstruction of Heterogeneous Virus Particles with Statistical Geometric Symmetry—0
HyperLISTA-ABT: An Ultra-light Unfolded Network for Accurate Multi-component Differential Tomographic SAR Inversion—0
Building Proteins in a Day: Efficient 3D Molecular Reconstruction—0
HaloGS: Loose Coupling of Compact Geometry and Gaussian Splats for 3D Scenes—0
HandS3C: 3D Hand Mesh Reconstruction with State Space Spatial Channel Attention from RGB images—0
Enhancing Face Recognition With Self-Supervised 3D Reconstruction—0
HDM-Net: Monocular Non-Rigid 3D Reconstruction with Learned Deformation Model—0
HDRGS: High Dynamic Range Gaussian Splatting—0
FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions—0
BuFF: Burst Feature Finder for Light-Constrained 3D Reconstruction—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