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 201225 of 2326 papers

TitleStatusHype
3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal PerspectiveCode1
3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with TransformersCode1
3D-C2FT: Coarse-to-fine Transformer for Multi-view 3D ReconstructionCode1
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object ReconstructionCode1
GP-GS: Gaussian Processes for Enhanced Gaussian SplattingCode1
3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data InversionCode1
Gradient-based Local Next-best-view Planning for Improved Perception of Targeted Plant NodesCode1
Gradient-SDF: A Semi-Implicit Surface Representation for 3D ReconstructionCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
Human Mesh Recovery from Multiple ShotsCode1
Geodesy of irregular small bodies via neural density fields: geodesyNetsCode1
3D Reconstruction Using a Linear Laser Scanner and a CameraCode1
Generative Proxemics: A Prior for 3D Social Interaction from ImagesCode1
Generalized Binary Search Network for Highly-Efficient Multi-View StereoCode1
Generating Diverse 3D Reconstructions from a Single Occluded Face ImageCode1
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional NetworkCode1
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View StereoCode1
GenDR: A Generalized Differentiable RendererCode1
Generative Object Insertion in Gaussian Splatting with a Multi-View Diffusion ModelCode1
An Effective Loss Function for Generating 3D Models from Single 2D Image without RenderingCode1
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal EstimationCode1
G3DR: Generative 3D Reconstruction in ImageNetCode1
Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian ParticleCode1
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRICode1
Amodal 3D Reconstruction for Robotic Manipulation via Stability and ConnectivityCode1
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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