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 701725 of 2326 papers

TitleStatusHype
Do-It-Yourself Single Camera 3D Pointer Input DeviceCode0
A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape FunctionsCode0
Learning to Generate Dense Point Clouds with Textures on Multiple CategoriesCode0
Learning Soft Estimator of Keypoint Scale and Orientation With Probabilistic Covariant LossCode0
Learning to Reconstruct Texture-less Deformable Surfaces from a Single ViewCode0
Learning Partonomic 3D Reconstruction from Image CollectionsCode0
Learning Object Manipulation Skills from Video via Approximate Differentiable PhysicsCode0
Learning Non-Volumetric Depth Fusion Using Successive ReprojectionsCode0
Learning single-image 3D reconstruction by generative modelling of shape, pose and shadingCode0
Learning Implicit Fields for Generative Shape ModelingCode0
Data-Driven 3D Reconstruction of Dressed Humans From Sparse ViewsCode0
DISN: Deep Implicit Surface Network for High-quality Single-view 3D ReconstructionCode0
Learning Single-View 3D Reconstruction with Limited Pose SupervisionCode0
Learning Embedding of 3D models with Quadric LossCode0
Learning a Multi-View Stereo MachineCode0
Learning Character-Agnostic Motion for Motion Retargeting in 2DCode0
Learning Free-Form Deformations for 3D Object ReconstructionCode0
Learning 3D Human Shape and Pose from Dense Body PartsCode0
3D Reconstruction and Segmentation of Dissection Photographs for MRI-free NeuropathologyCode0
Learning a Hierarchical Latent-Variable Model of 3D ShapesCode0
EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View StereoCode0
Domain-Adaptive Single-View 3D ReconstructionCode0
Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field ImagesCode0
IVUS-Net: An Intravascular Ultrasound Segmentation NetworkCode0
IPVNet: Learning Implicit Point-Voxel Features for Open-Surface 3D ReconstructionCode0
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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