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

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Showing 351–400 of 2326 papers

TitleStatusHype
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
FineRecon: Depth-aware Feed-forward Network for Detailed 3D ReconstructionCode1
3D^2-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar ModelingCode1
Free3D: Consistent Novel View Synthesis without 3D RepresentationCode1
f-SfT: Shape-From-Template With a Physics-Based Deformation ModelCode1
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View StereoCode1
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral TomographyCode1
InFusionSurf: Refining Neural RGB-D Surface Reconstruction Using Per-Frame Intrinsic Refinement and TSDF Fusion Prior LearningCode1
Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment ReconstructionCode1
Fast and Lightweight Scene Regressor for Camera RelocalizationCode1
BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integrationCode1
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth EstimationCode1
BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single ImageCode1
Fast and Robust Iterative Closest PointCode1
FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face ExtractionCode1
C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT ReconstructionCode1
Extremely Dense Point Correspondences using a Learned Feature DescriptorCode1
FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face ReconstructionCode1
Leveraging Photogrammetric Mesh Models for Aerial-Ground Feature Point Matching Toward Integrated 3D ReconstructionCode1
Camera Calibration through Camera Projection LossCode1
EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian SplattingCode1
EventEgo3D: 3D Human Motion Capture from Egocentric Event StreamsCode1
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstructionCode1
Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D ReconstructionCode1
LineGS : 3D Line Segment Representation on 3D Gaussian SplattingCode1
LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera PosesCode1
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic ReviewCode1
Few-Shot Single-View 3-D Object Reconstruction with Compositional PriorsCode1
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional NetworkCode1
Automated Aircraft Dent Inspection via a Modified Fourier Transform Profilometry AlgorithmCode1
Enhancing Agricultural Environment Perception via Active Vision and Zero-Shot LearningCode1
3D Reconstruction and New View Synthesis of Indoor Environments based on a Dual Neural Radiance FieldCode1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetryCode1
ABO: Dataset and Benchmarks for Real-World 3D Object UnderstandingCode1
Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo viewsCode1
Enhance-NeRF: Multiple Performance Evaluation for Neural Radiance FieldsCode1
Evaluate Geometry of Radiance Fields with Low-frequency Color PriorCode1
A Two-Stage Masked Autoencoder Based Network for Indoor Depth CompletionCode1
Attention Weighted Local DescriptorsCode1
Mirror3D: Depth Refinement for Mirror SurfacesCode1
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object ReconstructionCode1
E3D: Event-Based 3D Shape ReconstructionCode1
A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variableCode1
Mono-STAR: Mono-camera Scene-level Tracking and ReconstructionCode1
MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View StereoCode1
Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic ModelsCode1
E-3DGS: Gaussian Splatting with Exposure and Motion EventsCode1
Multi-Event-Camera Depth Estimation and Outlier Rejection by Refocused Events FusionCode1
Comparative Evaluation of 3D Reconstruction Methods for Object Pose EstimationCode1
Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D ReconstructionCode1
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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