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

Showing 22512275 of 2326 papers

TitleStatusHype
Learning Soft Estimator of Keypoint Scale and Orientation With Probabilistic Covariant LossCode0
View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View SelectionCode0
Nonlinear 3D Face Morphable ModelCode0
Track to Reconstruct and Reconstruct to TrackCode0
An Efficient Sampling-based Method for Online Informative Path Planning in Unknown EnvironmentsCode0
Learning to Generate Dense Point Clouds with Textures on Multiple CategoriesCode0
Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented RepresentationsCode0
Photometric Bundle Adjustment for Dense Multi-View 3D ModelingCode0
AI-Driven Relocation Tracking in Dynamic Kitchen EnvironmentsCode0
No-reference geometry quality assessment for colorless point clouds via list-wise rank learningCode0
Photometric Mesh Optimization for Video-Aligned 3D Object ReconstructionCode0
A Neural Network Approach to Missing Marker Reconstruction in Human Motion CaptureCode0
Pyramid Multi-view Stereo Net with Self-adaptive View AggregationCode0
Learning to Reconstruct Texture-less Deformable Surfaces from a Single ViewCode0
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor ScenesCode0
Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Integrate Framework: Application to Liver Tumor and Vessel 3D Reconstruction under embedded microprocessorCode0
A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape FunctionsCode0
Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumesCode0
Hubless keypoint-based 3D deformable groupwise registrationCode0
D2-Net: A Trainable CNN for Joint Description and Detection of Local FeaturesCode0
Quadtree-accelerated Real-time Monocular Dense MappingCode0
Expressive Body Capture: 3D Hands, Face, and Body from a Single ImageCode0
Soft Expectation and Deep Maximization for Image Feature DetectionCode0
Rethinking the Key Factors for the Generalization of Remote Sensing Stereo Matching NetworksCode0
HuSc3D: Human Sculpture dataset for 3D object reconstructionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
13D-R2N2Overall0.63Unverified
2GipumaOverall0.58Unverified
3COLMAPOverall0.53Unverified
4MVSNetOverall0.46Unverified
5Vis-MVSNetOverall0.37Unverified
6AA-RMVSNetOverall0.36Unverified
7Cas-MVSNetOverall0.36Unverified
8EPP-MVSNetOverall0.36Unverified
9PatchmatchNetOverall0.35Unverified
10CVP-MVSNetOverall0.35Unverified
#ModelMetricClaimedVerifiedStatus
1MD-GONIoU92.8Unverified
2POCOIoU92.6Unverified
3FS-SDFIoU91.2Unverified
4DP-ConvONetIoU89.5Unverified
5ConvONetIoU88.4Unverified
6ONetIoU76.1Unverified
7EVolTIoU73.8Unverified
8ZubicLioIoU65.43Unverified
#ModelMetricClaimedVerifiedStatus
1AttSets3DIoU0.64Unverified
2PSGN3DIoU0.64Unverified
3OGN3DIoU0.6Unverified
43D-R2N23DIoU0.56Unverified
#ModelMetricClaimedVerifiedStatus
1Scan2CADAverage Accuracy31.68Unverified
23DMatchAverage Accuracy10.29Unverified
#ModelMetricClaimedVerifiedStatus
1SVCPChamfer10Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy18.2Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy5.7Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)3DIoU89.4Unverified