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 1801–1850 of 2326 papers

TitleStatusHype
Unpaired Motion Style Transfer from Video to AnimationCode2
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive LearningCode1
FroDO: From Detections to 3D Objects—0
A Simple and Scalable Shape Representation for 3D Reconstruction—0
Multi-view data capture using edge-synchronised mobiles—0
Stomach 3D Reconstruction Based on Virtual Chromoendoscopic Image Generation—0
Reconstruct, Rasterize and Backprop: Dense shape and pose estimation from a single image—0
Through the Looking Glass: Neural 3D Reconstruction of Transparent ShapesCode1
The Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds: A Distributed 3D Mapping Use-caseCode0
Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences—0
Calculating Pose with Vanishing Points of Visual-Sphere Perspective Model—0
Few-Shot Single-View 3-D Object Reconstruction with Compositional PriorsCode1
ARCH: Animatable Reconstruction of Clothed HumansCode0
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method—0
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB ImageCode1
Occlusion-Aware Depth Estimation with Adaptive Normal ConstraintsCode1
End-To-End Convolutional Neural Network for 3D Reconstruction of Knee Bones From Bi-Planar X-Ray Images—0
Image compression optimized for 3D reconstruction by utilizing deep neural networks—0
Learning Implicit Surface Light FieldsCode2
High-Accuracy Facial Depth Models derived from 3D Synthetic Data—0
Weakly-supervised 3D coronary artery reconstruction from two-view angiographic images—0
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D ReconstructionCode1
Atlas: End-to-End 3D Scene Reconstruction from Posed ImagesCode2
ASLFeat: Learning Local Features of Accurate Shape and LocalizationCode1
Multiview Neural Surface Reconstruction by Disentangling Geometry and AppearanceCode1
Reconstructing Sinus Anatomy from Endoscopic Video -- Towards a Radiation-free Approach for Quantitative Longitudinal AssessmentCode1
Oral-3D: Reconstructing the 3D Bone Structure of Oral Cavity from 2D Panoramic X-ray—0
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images—0
Self-supervised Single-view 3D Reconstruction via Semantic ConsistencyCode1
Uncertainty depth estimation with gated images for 3D reconstruction—0
Convolutional Occupancy NetworksCode1
PL_1P -- Point-line Minimal Problems under Partial Visibility in Three Views—0
Single-View 3D Object Reconstruction from Shape Priors in Memory—0
STD-Net: Structure-preserving and Topology-adaptive Deformation Network for 3D Reconstruction from a Single Image—0
Implicit Functions in Feature Space for 3D Shape Reconstruction and CompletionCode1
Extremely Dense Point Correspondences using a Learned Feature DescriptorCode1
Leveraging Photogrammetric Mesh Models for Aerial-Ground Feature Point Matching Toward Integrated 3D ReconstructionCode1
Fast and Regularized Reconstruction of Building Façades from Street-View Images using Binary Integer ProgrammingCode0
Globally optimal point set registration by joint symmetry plane fitting—0
Deep Learning in Medical Ultrasound Image Segmentation: a Review—0
PeeledHuman: Robust Shape Representation for Textured 3D Human Body ReconstructionCode1
3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and HumansCode2
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions—0
HRINet: Alternative Supervision Network for High-resolution CT image Interpolation—0
Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the WildCode0
Synergetic Reconstruction from 2D Pose and 3D Motion for Wide-Space Multi-Person Video Motion Capture in the WildCode0
RoutedFusion: Learning Real-time Depth Map FusionCode1
A Two-step Calibration Method for Unfocused Light Field Camera Based on Projection Model Analysis—0
Learning 3D Human Shape and Pose from Dense Body PartsCode0
Graph-Based Parallel Large Scale Structure from MotionCode0
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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