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 476500 of 2326 papers

TitleStatusHype
Deep Two-View Structure-from-Motion RevisitedCode1
NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular VideoCode1
RetrievalFuse: Neural 3D Scene Reconstruction with a DatabaseCode1
MINE: Towards Continuous Depth MPI with NeRF for Novel View SynthesisCode1
Deep Implicit Moving Least-Squares Functions for 3D ReconstructionCode1
Multi-view data capture for dynamic object reconstruction using handheld augmented reality mobilesCode1
SMPLicit: Topology-aware Generative Model for Clothed PeopleCode1
An Effective Loss Function for Generating 3D Models from Single 2D Image without RenderingCode1
Rethinking Content and Style: Exploring Bias for Unsupervised DisentanglementCode1
A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variableCode1
Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging ApproachCode1
Weakly-Supervised Multi-Face 3D ReconstructionCode1
Learning Accurate Dense Correspondences and When to Trust ThemCode1
SERV-CT: A disparity dataset from CT for validation of endoscopic 3D reconstructionCode1
Human Mesh Recovery from Multiple ShotsCode1
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal EstimationCode1
DI-Fusion: Online Implicit 3D Reconstruction with Deep PriorsCode1
E3D: Event-Based 3D Shape ReconstructionCode1
Neural Deformation Graphs for Globally-consistent Non-rigid ReconstructionCode1
PatchmatchNet: Learned Multi-View Patchmatch StereoCode1
PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop LayersCode1
Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D ReconstructionCode1
Dynamic Plane Convolutional Occupancy NetworksCode1
Learning Deformable Tetrahedral Meshes for 3D ReconstructionCode1
Wide-angle Image Rectification: A SurveyCode1
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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