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 1701–1750 of 2326 papers

TitleStatusHype
Unsupervised Severely Deformed Mesh Reconstruction (DMR) from a Single-View Image—0
Unsupervised single-particle deep clustering via statistical manifold learning—0
PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar—0
PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility—0
Plug-and-Play with 2.5D Artifact Reduction Prior for Fast and Accurate Industrial Computed Tomography Reconstruction—0
3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction—0
3D photogrammetry point cloud segmentation using a model ensembling framework—0
3D object reconstruction and 6D-pose estimation from 2D shape for robotic grasping of objects—0
PointRecon: Online Point-based 3D Reconstruction via Ray-based 2D-3D Matching—0
Polarimetric Helmholtz Stereopsis—0
Polarimetric Multi-View Inverse Rendering—0
Polarimetric Multi-View Inverse Rendering—0
Polarimetric Multi-View Stereo—0
Polarized 3D: High-Quality Depth Sensing With Polarization Cues—0
3D-NVS: A 3D Supervision Approach for Next View Selection—0
PO-MSCKF: An Efficient Visual-Inertial Odometry by Reconstructing the Multi-State Constrained Kalman Filter with the Pose-only Theory—0
Ponder: Point Cloud Pre-training via Neural Rendering—0
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data—0
Pooling Image Datasets With Multiple Covariate Shift and Imbalance—0
Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian—0
Pos3R: 6D Pose Estimation for Unseen Objects Made Easy—0
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction—0
Pose Estimation and 3D Reconstruction of Vehicles from Stereo-Images Using a Subcategory-Aware Shape Prior—0
POSEFusion: Pose-guided Selective Fusion for Single-view Human Volumetric Capture—0
PoseMaster: Generating 3D Characters in Arbitrary Poses from a Single Image—0
Pose-variant 3D Facial Attribute Generation—0
Poster: Reliable 3D Reconstruction for Ad-hoc Edge Implementations—0
PostoMETRO: Pose Token Enhanced Mesh Transformer for Robust 3D Human Mesh Recovery—0
Pow3R: Empowering Unconstrained 3D Reconstruction with Camera and Scene Priors—0
3D-MOV: Audio-Visual LSTM Autoencoder for 3D Reconstruction of Multiple Objects from Video—0
Poxel: Voxel Reconstruction for 3D Printing—0
Practical Projective Structure From Motion (P2SfM)—0
PRaDA: Projective Radial Distortion Averaging—0
Pragmatist: Multiview Conditional Diffusion Models for High-Fidelity 3D Reconstruction from Unposed Sparse Views—0
Predicting Behaviors of Basketball Players From First Person Videos—0
PreF3R: Pose-Free Feed-Forward 3D Gaussian Splatting from Variable-length Image Sequence—0
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference—0
Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction—0
Primitive-based 3D Human-Object Interaction Modelling and Programming—0
Prioritized Multi-View Stereo Depth Map Generation Using Confidence Prediction—0
Proactive Multi-Camera Collaboration For 3D Human Pose Estimation—0
Probabilistic 3D surface reconstruction from sparse MRI information—0
Probabilistic Directed Distance Fields for Ray-Based Shape Representations—0
Probabilistic PolarGMM: Unsupervised Cluster Learning of Very Noisy Projection Images of Unknown Pose—0
Probabilistic Structure From Motion With Objects (PSfMO)—0
Pro-Cam SSfM: Projector-Camera System for Structure and Spectral Reflectance from Motion—0
Procedural Generation of 3D Maize Plant Architecture from LIDAR Data—0
Progressive Learning of 3D Reconstruction Network from 2D GAN Data—0
Progressive Structure from Motion—0
ProJo4D: Progressive Joint Optimization for Sparse-View Inverse Physics Estimation—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