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 726750 of 2326 papers

TitleStatusHype
Learning Embedding of 3D models with Quadric LossCode0
3D Reconstruction and Segmentation of Dissection Photographs for MRI-free NeuropathologyCode0
Learning Character-Agnostic Motion for Motion Retargeting in 2DCode0
Learning Free-Form Deformations for 3D Object ReconstructionCode0
Learning 3D Human Shape and Pose from Dense Body PartsCode0
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered ScenesCode0
EvAC3D: From Event-based Apparent Contours to 3D Models via Continuous Visual HullsCode0
LeanGaussian: Breaking Pixel or Point Cloud Correspondence in Modeling 3D GaussiansCode0
IVUS-Net: An Intravascular Ultrasound Segmentation NetworkCode0
Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field ImagesCode0
Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object ReconstructionCode0
Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying LightingCode0
Intel RealSense Stereoscopic Depth CamerasCode0
IPVNet: Learning Implicit Point-Voxel Features for Open-Surface 3D ReconstructionCode0
Learning a Hierarchical Latent-Variable Model of 3D ShapesCode0
InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop ClosureCode0
A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific FittingCode0
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D SupervisionCode0
Incremental Multiview Point Cloud RegistrationCode0
Differentiable probabilistic models of scientific imaging with the Fourier slice theoremCode0
UNIKD: UNcertainty-filtered Incremental Knowledge Distillation for Neural Implicit RepresentationCode0
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D ReconstructionCode0
Improving Computed Tomography (CT) Reconstruction via 3D Shape InductionCode0
Image2Mesh: A Learning Framework for Single Image 3D ReconstructionCode0
Image Stabilization for Hololens Camera in Remote CollaborationCode0
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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