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 201225 of 2326 papers

TitleStatusHype
Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo viewsCode1
HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D ReconstructionCode1
E-3DGS: Gaussian Splatting with Exposure and Motion EventsCode1
3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data InversionCode1
Efficient Implicit Neural Reconstruction Using LiDARCode1
E2GS: Event Enhanced Gaussian SplattingCode1
E3D: Event-Based 3D Shape ReconstructionCode1
HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object InteractionCode1
Human Mesh Recovery from Multiple ShotsCode1
GSurf: 3D Reconstruction via Signed Distance Fields with Direct Gaussian SupervisionCode1
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object ReconstructionCode1
H3D-Net: Few-Shot High-Fidelity 3D Head ReconstructionCode1
DUDF: Differentiable Unsigned Distance Fields with Hyperbolic ScalingCode1
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume ReconstructionCode1
DITTO: Dual and Integrated Latent Topologies for Implicit 3D ReconstructionCode1
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive LearningCode1
GP-GS: Gaussian Processes for Enhanced Gaussian SplattingCode1
DI-Fusion: Online Implicit 3D Reconstruction with Deep PriorsCode1
3D Reconstruction Using a Linear Laser Scanner and a CameraCode1
An Effective Loss Function for Generating 3D Models from Single 2D Image without RenderingCode1
Doppelgangers: Learning to Disambiguate Images of Similar StructuresCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
Amodal 3D Reconstruction for Robotic Manipulation via Stability and ConnectivityCode1
Gradient-based Local Next-best-view Planning for Improved Perception of Targeted Plant NodesCode1
DISORF: A Distributed Online 3D Reconstruction Framework for Mobile RobotsCode1
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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