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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1401–1425 of 2326 papers

TitleStatusHype
PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion Models—0
Unconstrained Two-parallel-plane Model for Focused Plenoptic Cameras Calibration—0
Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction—0
Underground Mapping and Localization Based on Ground-Penetrating Radar—0
Light Field-Based Underwater 3D Reconstruction Via Angular Resampling—0
3D Reconstruction from Sketches—0
PBIR-NIE: Glossy Object Capture under Non-Distant Lighting—0
3D Reconstruction from public webcams—0
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction—0
PCGen: Point Cloud Generator for LiDAR Simulation—0
UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing—0
3D Reconstruction from Full-view Fisheye Camera—0
Unified Few-shot Crack Segmentation and its Precise 3D Automatic Measurement in Concrete Structures—0
3D Reconstruction from Accidental Motion—0
Unified Scene Representation and Reconstruction for 3D Large Language Models—0
When 3D Reconstruction Meets Ubiquitous RGB-D Images—0
Perceiving Unseen 3D Objects by Poking the Objects—0
Efficient NeRF Optimization -- Not All Samples Remain Equally Hard—0
3D Reconstruction by Looking: Instantaneous Blind Spot Detector for Indoor SLAM through Mixed Reality—0
PERF: Performant, Explicit Radiance Fields—0
PerMO: Perceiving More at Once from a Single Image for Autonomous Driving—0
Perspective-consistent multifocus multiview 3D reconstruction of small objects—0
UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections—0
Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories—0
3D Reconstruction-Based Seed Counting of Sorghum Panicles for Agricultural Inspection—0
Show:102550
← PrevPage 57 of 94Next →
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