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 351–375 of 2326 papers

TitleStatusHype
Aberration Correcting Vision Transformers for High-Fidelity Metalens Imaging—0
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections—0
DGNS: Deformable Gaussian Splatting and Dynamic Neural Surface for Monocular Dynamic 3D Reconstruction—0
MT3DNet: Multi-Task learning Network for 3D Surgical Scene Reconstruction—0
DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction—0
Likelihood-Scheduled Score-Based Generative Modeling for Fully 3D PET Image Reconstruction—0
4D SlingBAG: spatial-temporal coupled Gaussian ball for large-scale dynamic 3D photoacoustic iterative reconstructionCode0
Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis—0
Distillation of Diffusion Features for Semantic Correspondence—0
Splats in Splats: Embedding Invisible 3D Watermark within Gaussian Splatting—0
Style3D: Attention-guided Multi-view Style Transfer for 3D Object Generation—0
How to Use Diffusion Priors under Sparse Views?Code1
Multi-robot autonomous 3D reconstruction using Gaussian splatting with Semantic guidance—0
3D Face Reconstruction From Radar Images—0
AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction—0
Robot Learning with Super-Linear Scaling—0
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images—0
Mutli-View 3D Reconstruction using Knowledge DistillationCode0
A Semantic Communication System for Real-time 3D Reconstruction Tasks—0
Occam's LGS: A Simple Approach for Language Gaussian Splatting—0
Refine3DNet: Scaling Precision in 3D Object Reconstruction from Multi-View RGB Images using AttentionCode2
FlashSLAM: Accelerated RGB-D SLAM for Real-Time 3D Scene Reconstruction with Gaussian Splatting—0
LineGS : 3D Line Segment Representation on 3D Gaussian SplattingCode1
Energy-Based Prior Latent Space Diffusion model for Reconstruction of Lumbar Vertebrae from Thick Slice MRICode0
Volumetric Reconstruction of Prostatectomy Specimens from Histology—0
Show:102550
← PrevPage 15 of 94Next →
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