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 951–975 of 2326 papers

TitleStatusHype
Analytical Derivatives for Differentiable Renderer: 3D Pose Estimation by Silhouette Consistency—0
3D Reconstruction through Fusion of Cross-View Images—0
HGSLoc: 3DGS-based Heuristic Camera Pose Refinement—0
GelSight Wedge: Measuring High-Resolution 3D Contact Geometry with a Compact Robot Finger—0
Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors—0
GauU-Scene: A Scene Reconstruction Benchmark on Large Scale 3D Reconstruction Dataset Using Gaussian Splatting—0
High-Accuracy Facial Depth Models derived from 3D Synthetic Data—0
Higher Order Function Networks for View Planning and Multi-View Reconstruction—0
ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image—0
High Fidelity 3D Reconstructions with Limited Physical Views—0
Analysis of Sampling Strategies for Implicit 3D Reconstruction—0
Gaussian Time Machine: A Real-Time Rendering Methodology for Time-Variant Appearances—0
Gaussian Splatting: 3D Reconstruction and Novel View Synthesis, a Review—0
High-quality Point Cloud Oriented Normal Estimation via Hybrid Angular and Euclidean Distance Encoding—0
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction—0
High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach—0
HiMoR: Monocular Deformable Gaussian Reconstruction with Hierarchical Motion Representation—0
HIPPo: Harnessing Image-to-3D Priors for Model-free Zero-shot 6D Pose Estimation—0
Analysis of Macula on Color Fundus Images Using Heightmap Reconstruction Through Deep Learning—0
3D Reconstruction of Whole Stomach from Endoscope Video Using Structure-from-Motion—0
3D-HGS: 3D Half-Gaussian Splatting—0
3D Building Reconstruction From Monocular Remote Sensing Images—0
HoloPOCUS: Portable Mixed-Reality 3D Ultrasound Tracking, Reconstruction and Overlay—0
HoloPose: Holistic 3D Human Reconstruction In-The-Wild—0
Gaussian Splashing: Direct Volumetric Rendering Underwater—0
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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