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 251275 of 2326 papers

TitleStatusHype
3D Shape Reconstruction from Free-Hand SketchesCode1
Generalized Binary Search Network for Highly-Efficient Multi-View StereoCode1
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit RepresentationsCode1
Generating Diverse 3D Reconstructions from a Single Occluded Face ImageCode1
GenDR: A Generalized Differentiable RendererCode1
Generative Object Insertion in Gaussian Splatting with a Multi-View Diffusion ModelCode1
A geometry-aware deep network for depth estimation in monocular endoscopyCode1
Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian ParticleCode1
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View StereoCode1
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRICode1
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene ReconstructionCode1
Fully Understanding Generic Objects: Modeling, Segmentation, and ReconstructionCode1
Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D ReconstructionCode1
3D Reconstruction of Novel Object Shapes from Single ImagesCode1
Attention Weighted Local DescriptorsCode1
G3DR: Generative 3D Reconstruction in ImageNetCode1
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional NetworkCode1
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal EstimationCode1
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet LossCode1
Few-Shot Single-View 3-D Object Reconstruction with Compositional PriorsCode1
FineRecon: Depth-aware Feed-forward Network for Detailed 3D ReconstructionCode1
InFusionSurf: Refining Neural RGB-D Surface Reconstruction Using Per-Frame Intrinsic Refinement and TSDF Fusion Prior LearningCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
Adversarial Parametric Pose PriorCode1
Fast and Lightweight Scene Regressor for Camera RelocalizationCode1
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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