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 1151–1200 of 2326 papers

TitleStatusHype
A Simple Framework for 3D Occupancy Estimation in Autonomous DrivingCode2
Fast 3D Volumetric Image Reconstruction from 2D MRI Slices by Parallel Processing—0
FingerSLAM: Closed-loop Unknown Object Localization and Reconstruction from Visuo-tactile Feedback—0
Normal-guided Garment UV Prediction for Human Re-texturing—0
Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction—0
ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand ReconstructionCode2
InFusionSurf: Refining Neural RGB-D Surface Reconstruction Using Per-Frame Intrinsic Refinement and TSDF Fusion Prior LearningCode1
DroNeRF: Real-time Multi-agent Drone Pose Optimization for Computing Neural Radiance Fields—0
Corner Detection Based on Multi-directional Gabor Filters with Multi-scales—0
Proactive Multi-Camera Collaboration For 3D Human Pose Estimation—0
System for 3D Acquisition and 3D Reconstruction using Structured Light for Sewer Line Inspection—0
MobileBrick: Building LEGO for 3D Reconstruction on Mobile DevicesCode1
Delicate Textured Mesh Recovery from NeRF via Adaptive Surface RefinementCode2
X-Ray2EM: Uncertainty-Aware Cross-Modality Image Reconstruction from X-Ray to Electron Microscopy in Connectomics—0
Efficient Implicit Neural Reconstruction Using LiDARCode1
3D Coronary Vessel Reconstruction from Bi-Plane Angiography using Graph Convolutional Networks—0
UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D ReconstructionCode1
Perceiving Unseen 3D Objects by Poking the Objects—0
SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous DrivingCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
3D Surface Reconstruction in the Wild by Deforming Shape Priors from Synthetic Data—0
View Consistency Aware Holistic Triangulation for 3D Human Pose Estimation—0
PC^2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D ReconstructionCode2
RealFusion: 360° Reconstruction of Any Object from a Single ImageCode5
3D Target Detection and Spectral Classification for Single-photon LiDAR Data—0
UAVStereo: A Multiple Resolution Dataset for Stereo Matching in UAV ScenariosCode1
A Simplified 3D Ultrasound Freehand Imaging Framework Using 1D Linear Probe and Low-Cost Mechanical Track—0
HR-NeuS: Recovering High-Frequency Surface Geometry via Neural Implicit Surfaces—0
Boosted ab initio Cryo-EM 3D Reconstruction with ACE-EM—0
3D Colored Shape Reconstruction from a Single RGB Image through Diffusion—0
3D reconstruction from spherical images: A review of techniques, applications, and prospects—0
Mono-STAR: Mono-camera Scene-level Tracking and ReconstructionCode1
A Comparison of Tiny-nerf versus Spatial Representations for 3d Reconstruction—0
3D genome reconstruction from partially phased Hi-C dataCode0
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning—0
Local Feature Extraction from Salient Regions by Feature Map Transformation—0
3D Reconstruction of Non-cooperative Resident Space Objects using Instant NGP-accelerated NeRF and D-NeRF—0
Computationally Efficient 3D MRI Reconstruction with Adaptive MLP—0
Regularizing disparity estimation via multi task learning with structured light reconstruction—0
Multiview Compressive Coding for 3D ReconstructionCode2
Edge Preserving Implicit Surface Representation of Point Clouds—0
Elevation Estimation-Driven Building 3D Reconstruction from Single-View Remote Sensing Imagery—0
Automatic Diagnosis of Carotid Atherosclerosis Using a Portable Freehand 3D Ultrasound Imaging System—0
Towards a Pipeline for Real-Time Visualization of Faces for VR-based Telepresence and Live Broadcasting Utilizing Neural RenderingCode0
Deep Learning from Parametrically Generated Virtual Buildings for Real-World Object Recognition—0
BS3D: Building-scale 3D Reconstruction from RGB-D Images—0
DG-Recon: Depth-Guided Neural 3D Scene Reconstruction—0
SiLK: Simple Learned Keypoints—0
DiLiGenT-Pi: Photometric Stereo for Planar Surfaces with Rich Details - Benchmark Dataset and Beyond—0
GeoMVSNet: Learning Multi-View Stereo With Geometry PerceptionCode2
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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