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 501–550 of 2326 papers

TitleStatusHype
Part-Aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and TrackingCode1
DeepFaceFlow: In-the-wild Dense 3D Facial Motion EstimationCode1
Extremely Dense Point Correspondences using a Learned Feature DescriptorCode1
PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape ReconstructionCode1
Real-Time Tilt Undersampling Optimization during Electron Tomography of Beam Sensitive Samples using Golden Ratio Scanning and RECAST3DCode1
Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View SettingsCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
Deep Learning-based Bathymetry Retrieval without In-situ Depths using Remote Sensing Imagery and SfM-MVS DSMs with Data GapsCode1
Enhance-NeRF: Multiple Performance Evaluation for Neural Radiance FieldsCode1
PC-NeRF: Parent-Child Neural Radiance Fields under Partial Sensor Data Loss in Autonomous Driving EnvironmentsCode1
Deep Two-View Structure-from-Motion RevisitedCode1
Efficient Implicit Neural Reconstruction Using LiDARCode1
PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape ProgramsCode1
E-3DGS: Gaussian Splatting with Exposure and Motion EventsCode1
Dynamic Plane Convolutional Occupancy NetworksCode1
PlaneMVS: 3D Plane Reconstruction from Multi-View StereoCode1
DUDF: Differentiable Unsigned Distance Fields with Hyperbolic ScalingCode1
Enhancing Agricultural Environment Perception via Active Vision and Zero-Shot LearningCode1
PlaneFormers: From Sparse View Planes to 3D ReconstructionCode1
PlaneRCNN: 3D Plane Detection and Reconstruction from a Single ImageCode1
Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate ModelsCode1
Articulated 3D Human-Object Interactions from RGB Videos: An Empirical Analysis of Approaches and ChallengesCode1
Photometric single-view dense 3D reconstruction in endoscopyCode1
φ-SfT: Shape-from-Template with a Physics-Based Deformation ModelCode1
Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view ImagesCode1
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D ReconstructionCode1
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume ReconstructionCode1
Doppelgangers: Learning to Disambiguate Images of Similar StructuresCode1
DISORF: A Distributed Online 3D Reconstruction Framework for Mobile RobotsCode1
DITTO: Dual and Integrated Latent Topologies for Implicit 3D ReconstructionCode1
DeepSDF: Learning Continuous Signed Distance Functions for Shape RepresentationCode1
DeepShadow: Neural Shape from ShadowCode1
E2GS: Event Enhanced Gaussian SplattingCode1
E3D: Event-Based 3D Shape ReconstructionCode1
Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination SystemsCode1
DI-Fusion: Online Implicit 3D Reconstruction with Deep PriorsCode1
Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo viewsCode1
DifferSketching: How Differently Do People Sketch 3D Objects?Code1
A Review of 3D Reconstruction Techniques for Deformable Tissues in Robotic SurgeryCode1
DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene GenerationCode1
Perspective Phase Angle Model for Polarimetric 3D ReconstructionCode1
Detecting Line Segments in Motion-blurred Images with EventsCode1
Gradient-SDF: A Semi-Implicit Surface Representation for 3D ReconstructionCode1
DeOcc-1-to-3: 3D De-Occlusion from a Single Image via Self-Supervised Multi-View DiffusionCode1
D2-Net: A Trainable CNN for Joint Detection and Description of Local FeaturesCode1
ASLFeat: Learning Local Features of Accurate Shape and LocalizationCode1
InFusionSurf: Refining Neural RGB-D Surface Reconstruction Using Per-Frame Intrinsic Refinement and TSDF Fusion Prior LearningCode1
Learning to Detect 3D Reflection Symmetry for Single-View ReconstructionCode1
Evaluate Geometry of Radiance Fields with Low-frequency Color PriorCode1
Pixel-Perfect Structure-from-Motion with Featuremetric RefinementCode1
Show:102550
← PrevPage 11 of 47Next →
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