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 401–450 of 2326 papers

TitleStatusHype
Generalized Binary Search Network for Highly-Efficient Multi-View StereoCode1
Coarse-To-Fine Tensor Trains for Compact Visual RepresentationsCode1
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit RepresentationsCode1
NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular Objects with Neural Refractive-Reflective FieldsCode1
GP-GS: Gaussian Processes for Enhanced Gaussian SplattingCode1
FineRecon: Depth-aware Feed-forward Network for Detailed 3D ReconstructionCode1
Automated Aircraft Dent Inspection via a Modified Fourier Transform Profilometry AlgorithmCode1
CoherentGS: Sparse Novel View Synthesis with Coherent 3D GaussiansCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
Neural Implicit 3D Shapes from Single Images with Spatial PatternsCode1
3D Reconstruction and New View Synthesis of Indoor Environments based on a Dual Neural Radiance FieldCode1
Few-Shot Single-View 3-D Object Reconstruction with Compositional PriorsCode1
Free3D: Consistent Novel View Synthesis without 3D RepresentationCode1
Fast and Robust Iterative Closest PointCode1
ABO: Dataset and Benchmarks for Real-World 3D Object UnderstandingCode1
Fast and Lightweight Scene Regressor for Camera RelocalizationCode1
O^2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion ModelCode1
OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using BlenderCode1
InFusionSurf: Refining Neural RGB-D Surface Reconstruction Using Per-Frame Intrinsic Refinement and TSDF Fusion Prior LearningCode1
A Two-Stage Masked Autoencoder Based Network for Indoor Depth CompletionCode1
Attention Weighted Local DescriptorsCode1
Occupancy Networks: Learning 3D Reconstruction in Function SpaceCode1
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object ReconstructionCode1
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic ReviewCode1
A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variableCode1
One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume DistillationCode1
Extremely Dense Point Correspondences using a Learned Feature DescriptorCode1
FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face ExtractionCode1
Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D ReconstructionCode1
OpticFusion: Multi-Modal Neural Implicit 3D Reconstruction of Microstructures by Fusing White Light Interferometry and Optical MicroscopyCode1
AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo NetworkCode1
CoNeRF: Controllable Neural Radiance FieldsCode1
PatchMatch-Stereo-Panorama, a fast dense reconstruction from 360° video imagesCode1
EventEgo3D: 3D Human Motion Capture from Egocentric Event StreamsCode1
PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop LayersCode1
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View SynthesisCode1
Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D ScansCode1
EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian SplattingCode1
FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face ReconstructionCode1
Gradient-based Local Next-best-view Planning for Improved Perception of Targeted Plant NodesCode1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetryCode1
Perspective Phase Angle Model for Polarimetric 3D ReconstructionCode1
Photometric single-view dense 3D reconstruction in endoscopyCode1
Convolutional Occupancy NetworksCode1
Enhance-NeRF: Multiple Performance Evaluation for Neural Radiance FieldsCode1
Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate ModelsCode1
Enhancing Agricultural Environment Perception via Active Vision and Zero-Shot LearningCode1
Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo viewsCode1
PlaneMVS: 3D Plane Reconstruction from Multi-View StereoCode1
3D Pose Estimation of Two Interacting Hands from a Monocular Event CameraCode1
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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