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 401425 of 2326 papers

TitleStatusHype
EventEgo3D: 3D Human Motion Capture from Egocentric Event StreamsCode1
Coarse-To-Fine Tensor Trains for Compact Visual RepresentationsCode1
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit RepresentationsCode1
NeAT: Neural Adaptive TomographyCode1
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic ReviewCode1
Evaluate Geometry of Radiance Fields with Low-frequency Color PriorCode1
ABO: Dataset and Benchmarks for Real-World 3D Object UnderstandingCode1
Event-based Stereo Visual OdometryCode1
Coherent Reconstruction of Multiple Humans from a Single ImageCode1
Extremely Dense Point Correspondences using a Learned Feature DescriptorCode1
A Two-Stage Masked Autoencoder Based Network for Indoor Depth CompletionCode1
Attention Weighted Local DescriptorsCode1
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object ReconstructionCode1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetryCode1
A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variableCode1
Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D ReconstructionCode1
Next-Best View Policy for 3D ReconstructionCode1
NTO3D: Neural Target Object 3D Reconstruction with Segment AnythingCode1
AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo NetworkCode1
Comparative Evaluation of 3D Reconstruction Methods for Object Pose EstimationCode1
O^2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion ModelCode1
OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using BlenderCode1
Enhance-NeRF: Multiple Performance Evaluation for Neural Radiance FieldsCode1
Enhancing Agricultural Environment Perception via Active Vision and Zero-Shot LearningCode1
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal EstimationCode1
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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