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 301–350 of 2326 papers

TitleStatusHype
Robot Goes Fishing: Rapid, High-Resolution Biological Hotspot Mapping in Coral Reefs with Vision-Guided Autonomous Underwater VehiclesCode1
GP-GS: Gaussian Processes for Enhanced Gaussian SplattingCode1
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive LearningCode1
IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRICode1
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal EstimationCode1
Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel SupervisionsCode1
Generating Diverse 3D Reconstructions from a Single Occluded Face ImageCode1
Generative Proxemics: A Prior for 3D Social Interaction from ImagesCode1
Geodesy of irregular small bodies via neural density fields: geodesyNetsCode1
GenDR: A Generalized Differentiable RendererCode1
Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian ParticleCode1
Bayesian Diffusion Models for 3D Shape ReconstructionCode1
G3DR: Generative 3D Reconstruction in ImageNetCode1
BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integrationCode1
PCRNet: Point Cloud Registration Network using PointNet EncodingCode1
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRICode1
Generalized Binary Search Network for Highly-Efficient Multi-View StereoCode1
Few-Shot Single-View 3-D Object Reconstruction with Compositional PriorsCode1
FineRecon: Depth-aware Feed-forward Network for Detailed 3D ReconstructionCode1
InFusionSurf: Refining Neural RGB-D Surface Reconstruction Using Per-Frame Intrinsic Refinement and TSDF Fusion Prior LearningCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
Fully Understanding Generic Objects: Modeling, Segmentation, and ReconstructionCode1
AutoSweep: Recovering 3D Editable Objectsfrom a Single PhotographCode1
Fast and Lightweight Scene Regressor for Camera RelocalizationCode1
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View StereoCode1
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional NetworkCode1
FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face ExtractionCode1
Generative Object Insertion in Gaussian Splatting with a Multi-View Diffusion ModelCode1
Extremely Dense Point Correspondences using a Learned Feature DescriptorCode1
FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face ReconstructionCode1
Fast and Robust Iterative Closest PointCode1
Free3D: Consistent Novel View Synthesis without 3D RepresentationCode1
Event-based Stereo Visual OdometryCode1
Evaluate Geometry of Radiance Fields with Low-frequency Color PriorCode1
EventEgo3D: 3D Human Motion Capture from Egocentric Event StreamsCode1
Active 3D Shape Reconstruction from Vision and TouchCode1
Gradient-based Local Next-best-view Planning for Improved Perception of Targeted Plant NodesCode1
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo NetworksCode1
BlenderGym: Benchmarking Foundational Model Systems for Graphics EditingCode1
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth EstimationCode1
BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume FusionCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical ApplicationsCode1
EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian SplattingCode1
Enhancing Agricultural Environment Perception via Active Vision and Zero-Shot LearningCode1
Enhance-NeRF: Multiple Performance Evaluation for Neural Radiance FieldsCode1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetryCode1
How to Use Diffusion Priors under Sparse Views?Code1
Human-Aware Object Placement for Visual Environment ReconstructionCode1
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic ReviewCode1
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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