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 17261750 of 2326 papers

TitleStatusHype
GAMesh: Guided and Augmented Meshing for Deep Point NetworksCode0
Probabilistic 3D surface reconstruction from sparse MRI information0
A simulation environment for drone cinematography0
Image-based underwater 3D reconstruction for Cultural Heritage: from image collection to 3D. Critical steps and considerations0
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning0
Loop-box: Multi-Agent Direct SLAM Triggered by Single Loop Closure for Large-Scale Mapping0
Multi-View Consistency Loss for Improved Single-Image 3D Reconstruction of Clothed People0
Amodal 3D Reconstruction for Robotic Manipulation via Stability and ConnectivityCode1
6-DoF Grasp Planning using Fast 3D Reconstruction and Grasp Quality CNN0
3D Reconstruction and Segmentation of Dissection Photographs for MRI-free NeuropathologyCode0
Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors0
Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems0
Heightmap Reconstruction of Macula on Color Fundus Images Using Conditional Generative Adversarial NetworksCode0
Next-Best View Policy for 3D ReconstructionCode1
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstructionCode1
Multi-Dimension Fusion Network for Light Field Spatial Super-Resolution using Dynamic FiltersCode1
BraggNN: Fast X-ray Bragg Peak Analysis Using Deep LearningCode1
Visibility-aware Multi-view Stereo NetworkCode1
Contact Area Detector using Cross View Projection Consistency for COVID-19 Projects0
DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDARCode0
Generative Adversarial Networks for Robust Cryo-EM Image DenoisingCode0
Attention-based 3D Object Reconstruction from a Single Image0
RocNet: Recursive Octree Network for Efficient 3D Deep Representation0
Integration of the 3D Environment for UAV Onboard Visual Object Tracking0
Stochastic Bundle Adjustment for Efficient and Scalable 3D ReconstructionCode1
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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