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 2276–2300 of 2326 papers

TitleStatusHype
FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos—0
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision—0
Fast Landmark Localization with 3D Component Reconstruction and CNN for Cross-Pose Recognition—0
Fast Non-Rigid Radiance Fields from Monocularized Data—0
Fast Point Cloud to Mesh Reconstruction for Deformable Object Tracking—0
Adopting an Unconstrained Ray Model in Light-Field Cameras for 3D Shape Reconstruction—0
Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern—0
FAWN: Floor-And-Walls Normal Regularization for Direct Neural TSDF Reconstruction—0
GeoGS3D: Single-view 3D Reconstruction via Geometric-aware Diffusion Model and Gaussian Splatting—0
Feature Based Framework to Detect Diseases, Tumor, and Bleeding in Wireless Capsule Endoscopy—0
Feature Descriptors for Tracking by Detection: a Benchmark—0
Adjustable Method Based on Body Parts for Improving the Accuracy of 3D Reconstruction in Visually Important Body Parts from Silhouettes—0
Few-Shot Generalization for Single-Image 3D Reconstruction via Priors—0
TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving—0
Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network—0
Finding Waldo: Towards Efficient Exploration of NeRF Scene Spaces—0
Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation—0
Fine-detailed Neural Indoor Scene Reconstruction using multi-level importance sampling and multi-view consistency—0
Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generation—0
FingerSLAM: Closed-loop Unknown Object Localization and Reconstruction from Visuo-tactile Feedback—0
Batch-based Model Registration for Fast 3D Sherd Reconstruction—0
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering—0
FlashSLAM: Accelerated RGB-D SLAM for Real-Time 3D Scene Reconstruction with Gaussian Splatting—0
Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation—0
Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras—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