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 2201–2250 of 2326 papers

TitleStatusHype
Elite360D: Towards Efficient 360 Depth Estimation via Semantic- and Distance-Aware Bi-Projection Fusion—0
EM-based approach to 3D reconstruction from single-waveform multispectral Lidar data—0
AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scene—0
Multi-tiling Neural Radiance Field (NeRF) -- Geometric Assessment on Large-scale Aerial Datasets—0
EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting—0
EndoGaussians: Single View Dynamic Gaussian Splatting for Deformable Endoscopic Tissues Reconstruction—0
EndoMetric: Near-Light Monocular Metric Scale Estimation in Endoscopy—0
Endoscopy artifact detection (EAD 2019) challenge dataset—0
EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting—0
End-to-end 3D shape inverse rendering of different classes of objects from a single input image—0
End-To-End Convolutional Neural Network for 3D Reconstruction of Knee Bones From Bi-Planar X-Ray Images—0
End-to-End Latency Optimization of Multi-view 3D Reconstruction for Disaster Response—0
End-to-End Multi-View Structure-from-Motion with Hypercorrelation Volumes—0
Energy Based Multi-model Fitting & Matching for 3D Reconstruction—0
Enforcing 3D Topological Constraints in Composite Objects via Implicit Functions—0
Enhanced fringe-to-phase framework using deep learning—0
Enhanced Multi-View Pedestrian Detection Using Probabilistic Occupancy Volume—0
Enhanced Stable View Synthesis—0
Enhancement of 3D Gaussian Splatting using Raw Mesh for Photorealistic Recreation of Architectures—0
VoxDepth: Rectification of Depth Images on Edge Devices—0
Enhancing Bronchoscopy Depth Estimation through Synthetic-to-Real Domain Adaptation—0
Enhancing Face Recognition With Self-Supervised 3D Reconstruction—0
Enhancing Neural Rendering Methods with Image Augmentations—0
Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation—0
Equivalent Constraints for Two-View Geometry: Pose Solution/Pure Rotation Identification and 3D Reconstruction—0
ERF: Explicit Radiance Field Reconstruction From Scratch—0
ErpGS: Equirectangular Image Rendering enhanced with 3D Gaussian Regularization—0
Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy—0
ES-Gaussian: Gaussian Splatting Mapping via Error Space-Based Gaussian Completion—0
Advancing Applications of Satellite Photogrammetry: Novel Approaches for Built-up Area Modeling and Natural Environment Monitoring using Stereo/Multi-view Satellite Image-derived 3D Data—0
ESL: Event-based Structured Light—0
Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms—0
Euclidean Auto Calibration of Camera Networks: Baseline Constraint Removes Scale Ambiguity—0
Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction—0
Evaluating geometric accuracy of NeRF reconstructions compared to SLAM method—0
Evaluating Neural Radiance Fields (NeRFs) for 3D Plant Geometry Reconstruction in Field Conditions—0
Evaluating the point cloud of individual trees generated from images based on Neural Radiance fields (NeRF) method—0
Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild—0
Evaluation of Flight Parameters in UAV-based 3D Reconstruction for Rooftop Infrastructure Assessment—0
EvaSurf: Efficient View-Aware Implicit Textured Surface Reconstruction—0
Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion—0
System for 3D Acquisition and 3D Reconstruction using Structured Light for Sewer Line Inspection—0
Event-boosted Deformable 3D Gaussians for Dynamic Scene Reconstruction—0
T2TD: Text-3D Generation Model based on Prior Knowledge Guidance—0
EventNeRF: Neural Radiance Fields from a Single Colour Event Camera—0
Tabletop Transparent Scene Reconstruction via Epipolar-Guided Optical Flow with Monocular Depth Completion Prior—0
EVI-SAM: Robust, Real-time, Tightly-coupled Event-Visual-Inertial State Estimation and 3D Dense Mapping—0
EV-SegNet: Semantic Segmentation for Event-based Cameras—0
Exact Bias Correction and Covariance Estimation for Stereo Vision—0
ExFMan: Rendering 3D Dynamic Humans with Hybrid Monocular Blurry Frames and Events—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