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

Showing 18761900 of 2326 papers

TitleStatusHype
Deep-Learning Assisted High-Resolution Binocular Stereo Depth Reconstruction0
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo NetworksCode1
DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction0
Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene0
BSP-Net: Generating Compact Meshes via Binary Space PartitioningCode1
Tigris: Architecture and Algorithms for 3D Perception in Point CloudsCode0
GraphX-Convolution for Point Cloud Deformation in 2D-to-3D ConversionCode0
Dense 3D Reconstruction for Visual Tunnel Inspection using Unmanned Aerial Vehicle0
Technical Report: Co-learning of geometry and semantics for online 3D mapping0
Surface Reconstruction from 3D Line SegmentsCode1
Probabilistic Inference for Camera Calibration in Light Microscopy under Circular MotionCode0
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for RoboticsCode0
Real-Time 3D Reconstruction of Colonoscopic Surfaces for Determining Missing Regions0
Leveraging Vision Reconstruction Pipelines for Satellite Imagery0
An Interactive Control Approach to 3D Shape Reconstruction0
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and MappingCode1
Higher Order Function Networks for View Planning and Multi-View Reconstruction0
Learning Continuous 3D Reconstructions for Geometrically Aware Grasping0
Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving0
PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility0
Unsupervised 3D Reconstruction Networks0
X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion0
Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics0
Track to Reconstruct and Reconstruct to TrackCode0
An Efficient Sampling-based Method for Online Informative Path Planning in Unknown EnvironmentsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
13D-R2N2Overall0.63Unverified
2GipumaOverall0.58Unverified
3COLMAPOverall0.53Unverified
4MVSNetOverall0.46Unverified
5Vis-MVSNetOverall0.37Unverified
6AA-RMVSNetOverall0.36Unverified
7Cas-MVSNetOverall0.36Unverified
8EPP-MVSNetOverall0.36Unverified
9PatchmatchNetOverall0.35Unverified
10CVP-MVSNetOverall0.35Unverified
#ModelMetricClaimedVerifiedStatus
1MD-GONIoU92.8Unverified
2POCOIoU92.6Unverified
3FS-SDFIoU91.2Unverified
4DP-ConvONetIoU89.5Unverified
5ConvONetIoU88.4Unverified
6ONetIoU76.1Unverified
7EVolTIoU73.8Unverified
8ZubicLioIoU65.43Unverified
#ModelMetricClaimedVerifiedStatus
1AttSets3DIoU0.64Unverified
2PSGN3DIoU0.64Unverified
3OGN3DIoU0.6Unverified
43D-R2N23DIoU0.56Unverified
#ModelMetricClaimedVerifiedStatus
1Scan2CADAverage Accuracy31.68Unverified
23DMatchAverage Accuracy10.29Unverified
#ModelMetricClaimedVerifiedStatus
1SVCPChamfer10Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy18.2Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy5.7Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)3DIoU89.4Unverified