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

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Showing 401–450 of 2326 papers

TitleStatusHype
Dynamic Plane Convolutional Occupancy NetworksCode1
Coarse-To-Fine Tensor Trains for Compact Visual RepresentationsCode1
NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular VideoCode1
DUDF: Differentiable Unsigned Distance Fields with Hyperbolic ScalingCode1
IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D ReconstructionCode1
Doppelgangers: Learning to Disambiguate Images of Similar StructuresCode1
Efficient Implicit Neural Reconstruction Using LiDARCode1
NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationCode1
Coherent Reconstruction of Multiple Humans from a Single ImageCode1
NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDFCode1
Automated Aircraft Dent Inspection via a Modified Fourier Transform Profilometry AlgorithmCode1
DITTO: Dual and Integrated Latent Topologies for Implicit 3D ReconstructionCode1
3D Reconstruction and New View Synthesis of Indoor Environments based on a Dual Neural Radiance FieldCode1
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume ReconstructionCode1
Neural Deformation Graphs for Globally-consistent Non-rigid ReconstructionCode1
DI-Fusion: Online Implicit 3D Reconstruction with Deep PriorsCode1
Learning Accurate Dense Correspondences and When to Trust ThemCode1
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
ABO: Dataset and Benchmarks for Real-World 3D Object UnderstandingCode1
DISORF: A Distributed Online 3D Reconstruction Framework for Mobile RobotsCode1
Neural Implicit 3D Shapes from Single Images with Spatial PatternsCode1
A Two-Stage Masked Autoencoder Based Network for Indoor Depth CompletionCode1
Attention Weighted Local DescriptorsCode1
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object ReconstructionCode1
DifferSketching: How Differently Do People Sketch 3D Objects?Code1
A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variableCode1
Learning Online Multi-Sensor Depth FusionCode1
Progressive Volume Distillation with Active Learning for Efficient NeRF Architecture ConversionCode1
ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian SplattingCode1
Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D ReconstructionCode1
Learning to Detect 3D Reflection Symmetry for Single-View ReconstructionCode1
CoNeRF: Controllable Neural Radiance FieldsCode1
AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo NetworkCode1
Learning to Parse Wireframes in Images of Man-Made EnvironmentsCode1
DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene GenerationCode1
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View SynthesisCode1
Level-S^2fM: Structure from Motion on Neural Level Set of Implicit SurfacesCode1
Leveraging Photogrammetric Mesh Models for Aerial-Ground Feature Point Matching Toward Integrated 3D ReconstructionCode1
NeuralBlox: Real-Time Neural Representation Fusion for Robust Volumetric MappingCode1
O^2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion ModelCode1
Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View SettingsCode1
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same ActionCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
Convolutional Occupancy NetworksCode1
Coordinate Quantized Neural Implicit Representations for Multi-view ReconstructionCode1
Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D EnvironmentsCode1
Deep Two-View Structure-from-Motion RevisitedCode1
NeAT: Neural Adaptive TomographyCode1
3D Pose Estimation of Two Interacting Hands from a Monocular Event CameraCode1
A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and BeyondCode1
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All datasetsDTUShapeNetData3D−R2N2Scan2CAD3DPeopleAria Digital Twin DatasetAria Synthetic EnvironmentsScanNet

Benchmark Results

#ModelMetricClaimedVerifiedStatus
13D-R2N2Overall0.63—Unverified
2GipumaOverall0.58—Unverified
3COLMAPOverall0.53—Unverified
4MVSNetOverall0.46—Unverified
5Vis-MVSNetOverall0.37—Unverified
6AA-RMVSNetOverall0.36—Unverified
7Cas-MVSNetOverall0.36—Unverified
8EPP-MVSNetOverall0.36—Unverified
9PatchmatchNetOverall0.35—Unverified
10CVP-MVSNetOverall0.35—Unverified
#ModelMetricClaimedVerifiedStatus
1MD-GONIoU92.8—Unverified
2POCOIoU92.6—Unverified
3FS-SDFIoU91.2—Unverified
4DP-ConvONetIoU89.5—Unverified
5ConvONetIoU88.4—Unverified
6ONetIoU76.1—Unverified
7EVolTIoU73.8—Unverified
8ZubicLioIoU65.43—Unverified
#ModelMetricClaimedVerifiedStatus
1AttSets3DIoU0.64—Unverified
2PSGN3DIoU0.64—Unverified
3OGN3DIoU0.6—Unverified
43D-R2N23DIoU0.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Scan2CADAverage Accuracy31.68—Unverified
23DMatchAverage Accuracy10.29—Unverified
#ModelMetricClaimedVerifiedStatus
1SVCPChamfer10—Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy18.2—Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy5.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)3DIoU89.4—Unverified