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 176200 of 2326 papers

TitleStatusHype
A Simple Framework for 3D Occupancy Estimation in Autonomous DrivingCode2
EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian SplattingCode2
GO-SLAM: Global Optimization for Consistent 3D Instant ReconstructionCode2
Delicate Textured Mesh Recovery from NeRF via Adaptive Surface RefinementCode2
PLVS: A SLAM System with Points, Lines, Volumetric Mapping, and 3D Incremental SegmentationCode2
DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident Map GenerationCode2
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object ManipulationCode2
Animal Avatars: Reconstructing Animatable 3D Animals from Casual VideosCode2
Atlas: End-to-End 3D Scene Reconstruction from Posed ImagesCode2
GigaPose: Fast and Robust Novel Object Pose Estimation via One CorrespondenceCode2
GoMVS: Geometrically Consistent Cost Aggregation for Multi-View StereoCode2
Learning Implicit Surface Light FieldsCode2
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and DenoisingCode2
3D Shape Reconstruction from Free-Hand SketchesCode1
Geodesy of irregular small bodies via neural density fields: geodesyNetsCode1
Generative Proxemics: A Prior for 3D Social Interaction from ImagesCode1
3D Shape Reconstruction from 2D Images with Disentangled Attribute FlowCode1
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
3DMatch: Learning Local Geometric Descriptors from RGB-D ReconstructionsCode1
GenDR: A Generalized Differentiable RendererCode1
Generative Object Insertion in Gaussian Splatting with a Multi-View Diffusion ModelCode1
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal EstimationCode1
3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal PerspectiveCode1
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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