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 1801–1850 of 2326 papers

TitleStatusHype
A Plug-and-Play Algorithm for 3D Video Super-Resolution of Single-Photon LiDAR data—0
AppleGrowthVision: A large-scale stereo dataset for phenological analysis, fruit detection, and 3D reconstruction in apple orchards—0
Application of a Modified Harmony Search Algorithm in the Optimal Arrangement of a Novel Three Dimensional Multiphase Flow Imaging Device—0
A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light—0
A Quantitative Evaluation of Dense 3D Reconstruction of Sinus Anatomy from Monocular Endoscopic Video—0
AR4D: Autoregressive 4D Generation from Monocular Videos—0
A Real-Time Human Pose Measurement System for Human-In-The-Loop Dynamic Simulators—0
Specular-to-Diffuse Translation for Multi-View Reconstruction—0
A Real World Dataset for Multi-view 3D Reconstruction—0
A Refined 3D Gaussian Representation for High-Quality Dynamic Scene Reconstruction—0
A Representation Theory Perspective on Simultaneous Alignment and Classification—0
VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping—0
A Review on Viewpoints and Path-planning for UAV-based 3D Reconstruction—0
ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylization—0
ARM: Appearance Reconstruction Model for Relightable 3D Generation—0
A Robust Error-Resistant View Selection Method for 3D Reconstruction—0
SPIDR: SDF-based Neural Point Fields for Illumination and Deformation—0
Articulated and Restricted Motion Subspaces and Their Signatures—0
Analytical Derivatives for Differentiable Renderer: 3D Pose Estimation by Silhouette Consistency—0
A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction—0
A self-supervised cyclic neural-analytic approach for novel view synthesis and 3D reconstruction—0
A Semantic Communication System for Real-time 3D Reconstruction Tasks—0
A Simple and Scalable Shape Representation for 3D Reconstruction—0
Analysis of Sampling Strategies for Implicit 3D Reconstruction—0
A Simplified 3D Ultrasound Freehand Imaging Framework Using 1D Linear Probe and Low-Cost Mechanical Track—0
A simulation environment for drone cinematography—0
SpikeGS: 3D Gaussian Splatting from Spike Streams with High-Speed Camera Motion—0
A Solution for Crime Scene Reconstruction using Time-of-Flight Cameras—0
A Spatial-temporal 3D Human Pose Reconstruction Framework—0
A Survey of 3D Reconstruction with Event Cameras: From Event-based Geometry to Neural 3D Rendering—0
Analysis of Macula on Color Fundus Images Using Heightmap Reconstruction Through Deep Learning—0
A Survey on Event-driven 3D Reconstruction: Development under Different Categories—0
A Systematic Literature Review on Deep Learning-based Depth Estimation in Computer Vision—0
A System for 3D Reconstruction Of Comminuted Tibial Plafond Bone Fractures—0
A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its effect on Image Correspondence—0
A Theory of Refractive Photo-Light-Path Triangulation—0
A Theory of Topological Derivatives for Inverse Rendering of Geometry—0
Objects as volumes: A stochastic geometry view of opaque solids—0
Analysis of critical parameters of satellite stereo image for 3D reconstruction and mapping—0
Spike-NeRF: Neural Radiance Field Based On Spike Camera—0
Attention-based 3D Object Reconstruction from a Single Image—0
Attention-driven Next-best-view Planning for Efficient Reconstruction of Plants and Targeted Plant Parts—0
Splat and Replace: 3D Reconstruction with Repetitive Elements—0
SplatFace: Gaussian Splat Face Reconstruction Leveraging an Optimizable Surface—0
Augmenting Crowd-Sourced 3D Reconstructions Using Semantic Detections—0
AURORA: Automated Unleash of 3D Room Outlines for VR Applications—0
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation—0
Autocalibration with the Minimum Number of Cameras with Known Pixel Shape—0
Automated 3D Face Reconstruction From Multiple Images Using Quality Measures—0
Automated 3D reconstruction of LoD2 and LoD1 models for all 10 million buildings of the Netherlands—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