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 22012225 of 2326 papers

TitleStatusHype
Graph-Based Parallel Large Scale Structure from MotionCode0
Probabilistic Inference for Camera Calibration in Light Microscopy under Circular MotionCode0
GraphX-Convolution for Point Cloud Deformation in 2D-to-3D ConversionCode0
UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic ImagesCode0
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement LearningCode0
Probabilistic Reconstruction Networks for 3D Shape Inference from a Single ImageCode0
Learning Character-Agnostic Motion for Motion Retargeting in 2DCode0
Scan2CAD: Learning CAD Model Alignment in RGB-D ScansCode0
VoloGAN: Adversarial Domain Adaptation for Synthetic Depth DataCode0
Neural RGB->D Sensing: Depth and Uncertainty from a Video CameraCode0
TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic SceneCode0
Superhuman Accuracy on the SNEMI3D Connectomics ChallengeCode0
MOTChallenge 2015: Towards a Benchmark for Multi-Target TrackingCode0
The Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds: A Distributed 3D Mapping Use-caseCode0
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground TruthCode0
Learning Embedding of 3D models with Quadric LossCode0
The Double Sphere Camera ModelCode0
Learning Free-Form Deformations for 3D Object ReconstructionCode0
3DGSR: Implicit Surface Reconstruction with 3D Gaussian SplattingCode0
Energy-Based Prior Latent Space Diffusion model for Reconstruction of Lumbar Vertebrae from Thick Slice MRICode0
3D reconstruction using Structure for MotionCode0
MPF-GAN: an enhanced architecture for 3D face reconstructionCode0
Data-Driven 3D Reconstruction of Dressed Humans From Sparse ViewsCode0
Learning Implicit Fields for Generative Shape ModelingCode0
Weakly supervised 3D Reconstruction with Adversarial ConstraintCode0
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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