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 701–750 of 2326 papers

TitleStatusHype
M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D ReconstructionCode0
Probabilistic Inference for Camera Calibration in Light Microscopy under Circular MotionCode0
Bag of Views: An Appearance-based Approach to Next-Best-View Planning for 3D ReconstructionCode0
Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose ReconstructionCode0
Live Reconstruction of Large-Scale Dynamic Outdoor WorldsCode0
Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per PersonCode0
Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature DisentanglementCode0
LIST: Learning Implicitly from Spatial Transformers for Single-View 3D ReconstructionCode0
LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination DeclineCode0
Do-It-Yourself Single Camera 3D Pointer Input DeviceCode0
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and ScenesCode0
Learning to Generate Dense Point Clouds with Textures on Multiple CategoriesCode0
Learning Soft Estimator of Keypoint Scale and Orientation With Probabilistic Covariant LossCode0
Domain-Adaptive Single-View 3D ReconstructionCode0
Learning to Reconstruct Texture-less Deformable Surfaces from a Single ViewCode0
Learning Partonomic 3D Reconstruction from Image CollectionsCode0
Learning single-image 3D reconstruction by generative modelling of shape, pose and shadingCode0
Enhancing Free-hand 3D Photoacoustic and Ultrasound Reconstruction using Deep LearningCode0
DISN: Deep Implicit Surface Network for High-quality Single-view 3D ReconstructionCode0
Learning Single-View 3D Reconstruction with Limited Pose SupervisionCode0
A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape FunctionsCode0
Learning Non-Volumetric Depth Fusion Using Successive ReprojectionsCode0
Data-Driven 3D Reconstruction of Dressed Humans From Sparse ViewsCode0
Learning Implicit Fields for Generative Shape ModelingCode0
Learning Object Manipulation Skills from Video via Approximate Differentiable PhysicsCode0
Learning Embedding of 3D models with Quadric LossCode0
3D Reconstruction and Segmentation of Dissection Photographs for MRI-free NeuropathologyCode0
Learning Character-Agnostic Motion for Motion Retargeting in 2DCode0
Learning Free-Form Deformations for 3D Object ReconstructionCode0
Learning 3D Human Shape and Pose from Dense Body PartsCode0
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered ScenesCode0
EvAC3D: From Event-based Apparent Contours to 3D Models via Continuous Visual HullsCode0
LeanGaussian: Breaking Pixel or Point Cloud Correspondence in Modeling 3D GaussiansCode0
IVUS-Net: An Intravascular Ultrasound Segmentation NetworkCode0
Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field ImagesCode0
Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object ReconstructionCode0
Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying LightingCode0
Intel RealSense Stereoscopic Depth CamerasCode0
IPVNet: Learning Implicit Point-Voxel Features for Open-Surface 3D ReconstructionCode0
Learning a Hierarchical Latent-Variable Model of 3D ShapesCode0
InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop ClosureCode0
A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific FittingCode0
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D SupervisionCode0
Incremental Multiview Point Cloud RegistrationCode0
Differentiable probabilistic models of scientific imaging with the Fourier slice theoremCode0
UNIKD: UNcertainty-filtered Incremental Knowledge Distillation for Neural Implicit RepresentationCode0
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D ReconstructionCode0
Improving Computed Tomography (CT) Reconstruction via 3D Shape InductionCode0
Image2Mesh: A Learning Framework for Single Image 3D ReconstructionCode0
Image Stabilization for Hololens Camera in Remote CollaborationCode0
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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