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 1701–1750 of 2326 papers

TitleStatusHype
3D-NVS: A 3D Supervision Approach for Next View Selection—0
Neural Deformation Graphs for Globally-consistent Non-rigid ReconstructionCode1
PatchmatchNet: Learned Multi-View Patchmatch StereoCode1
Facetwise Mesh Refinement for Multi-View Stereo—0
Where to Explore Next? ExHistCNN for History-aware Autonomous 3D ExplorationCode0
PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop LayersCode1
Descriptor-Free Multi-View Region Matching for Instance-Wise 3D Reconstruction—0
Efficient Scene Compression for Visual-based LocalizationCode0
Three-dimensional Segmentation of the Scoliotic Spine from MRI using Unsupervised Volume-based MR-CT Synthesis—0
Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D ReconstructionCode1
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale—0
Independent Sign Language Recognition with 3D Body, Hands, and Face Reconstruction—0
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient EstimationCode0
Relative Drone-Ground Vehicle Localization using LiDAR and Fisheye Cameras through Direct and Indirect Observations—0
Dynamic Plane Convolutional Occupancy NetworksCode1
Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern—0
GPR-based Model Reconstruction System for Underground Utilities Using GPRNet—0
Realtime CNN-based Keypoint Detector with Sobel Filter and CNN-based Descriptor Trained with Keypoint Candidates—0
Learning Deformable Tetrahedral Meshes for 3D ReconstructionCode1
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data—0
3D photogrammetry point cloud segmentation using a model ensembling framework—0
Wide-angle Image Rectification: A SurveyCode1
Improving the generalization of network based relative pose regression: dimension reduction as a regularizer—0
Learning to Guide Local Feature Matches—0
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static ImagesCode1
GAMesh: Guided and Augmented Meshing for Deep Point NetworksCode0
Probabilistic 3D surface reconstruction from sparse MRI information—0
A simulation environment for drone cinematography—0
Image-based underwater 3D reconstruction for Cultural Heritage: from image collection to 3D. Critical steps and considerations—0
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning—0
Loop-box: Multi-Agent Direct SLAM Triggered by Single Loop Closure for Large-Scale Mapping—0
Multi-View Consistency Loss for Improved Single-Image 3D Reconstruction of Clothed People—0
Amodal 3D Reconstruction for Robotic Manipulation via Stability and ConnectivityCode1
6-DoF Grasp Planning using Fast 3D Reconstruction and Grasp Quality CNN—0
3D Reconstruction and Segmentation of Dissection Photographs for MRI-free NeuropathologyCode0
Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors—0
Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems—0
Heightmap Reconstruction of Macula on Color Fundus Images Using Conditional Generative Adversarial NetworksCode0
Next-Best View Policy for 3D ReconstructionCode1
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstructionCode1
Multi-Dimension Fusion Network for Light Field Spatial Super-Resolution using Dynamic FiltersCode1
BraggNN: Fast X-ray Bragg Peak Analysis Using Deep LearningCode1
Visibility-aware Multi-view Stereo NetworkCode1
Contact Area Detector using Cross View Projection Consistency for COVID-19 Projects—0
DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDARCode0
Generative Adversarial Networks for Robust Cryo-EM Image DenoisingCode0
Attention-based 3D Object Reconstruction from a Single Image—0
RocNet: Recursive Octree Network for Efficient 3D Deep Representation—0
Integration of the 3D Environment for UAV Onboard Visual Object Tracking—0
Stochastic Bundle Adjustment for Efficient and Scalable 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