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 401425 of 2326 papers

TitleStatusHype
DifferSketching: How Differently Do People Sketch 3D Objects?Code1
Coarse-To-Fine Tensor Trains for Compact Visual RepresentationsCode1
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit RepresentationsCode1
Incremental Visual-Inertial 3D Mesh Generation with Structural RegularitiesCode1
Multi-View Guided Multi-View StereoCode1
A Two-Stage Masked Autoencoder Based Network for Indoor Depth CompletionCode1
Attention Weighted Local DescriptorsCode1
CoherentGS: Sparse Novel View Synthesis with Coherent 3D GaussiansCode1
Coherent Reconstruction of Multiple Humans from a Single ImageCode1
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object ReconstructionCode1
A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variableCode1
DISORF: A Distributed Online 3D Reconstruction Framework for Mobile RobotsCode1
Enhance-NeRF: Multiple Performance Evaluation for Neural Radiance FieldsCode1
Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D ReconstructionCode1
AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo NetworkCode1
Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View SettingsCode1
DeOcc-1-to-3: 3D De-Occlusion from a Single Image via Self-Supervised Multi-View DiffusionCode1
Multi-task Learning for Camera CalibrationCode1
DeepSDF: Learning Continuous Signed Distance Functions for Shape RepresentationCode1
DeepShadow: Neural Shape from ShadowCode1
Learning Accurate Dense Correspondences and When to Trust ThemCode1
Learning to Detect 3D Reflection Symmetry for Single-View ReconstructionCode1
Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in VideosCode1
MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View StereoCode1
Multi-Dimension Fusion Network for Light Field Spatial Super-Resolution using Dynamic FiltersCode1
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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