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
Joint Reconstruction of 3D Human and Object via Contact-Based Refinement TransformerCode2
PC-NeRF: Parent-Child Neural Radiance Fields Using Sparse LiDAR Frames in Autonomous Driving EnvironmentsCode2
Animal Avatars: Reconstructing Animatable 3D Animals from Casual VideosCode2
HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from VideoCode2
GoMVS: Geometrically Consistent Cost Aggregation for Multi-View StereoCode2
GO-SLAM: Global Optimization for Consistent 3D Instant ReconstructionCode2
POCO: Point Convolution for Surface ReconstructionCode2
ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable TransformationCode2
GigaPose: Fast and Robust Novel Object Pose Estimation via One CorrespondenceCode2
iHuman: Instant Animatable Digital Humans From Monocular VideosCode2
MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based DepthCode2
SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance FieldsCode2
Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative ImagingCode2
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
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume ReconstructionCode1
DITTO: Dual and Integrated Latent Topologies for Implicit 3D ReconstructionCode1
DISORF: A Distributed Online 3D Reconstruction Framework for Mobile RobotsCode1
3DMatch: Learning Local Geometric Descriptors from RGB-D ReconstructionsCode1
Doppelgangers: Learning to Disambiguate Images of Similar StructuresCode1
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
3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with TransformersCode1
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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