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 476500 of 2326 papers

TitleStatusHype
Self-Evolving Neural Radiance FieldsCode1
FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face ReconstructionCode1
Self-Supervised Super-Plane for Neural 3D ReconstructionCode1
FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face ExtractionCode1
EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian SplattingCode1
EventEgo3D: 3D Human Motion Capture from Egocentric Event StreamsCode1
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic ReviewCode1
3D Pose Estimation of Two Interacting Hands from a Monocular Event CameraCode1
A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and BeyondCode1
DeepFaceFlow: In-the-wild Dense 3D Facial Motion EstimationCode1
Extremely Dense Point Correspondences using a Learned Feature DescriptorCode1
3DVNet: Multi-View Depth Prediction and Volumetric RefinementCode1
Evaluate Geometry of Radiance Fields with Low-frequency Color PriorCode1
Decomposing NeRF for Editing via Feature Field DistillationCode1
Enhance-NeRF: Multiple Performance Evaluation for Neural Radiance FieldsCode1
Enhancing Agricultural Environment Perception via Active Vision and Zero-Shot LearningCode1
SMART: Spatial Modeling Algorithms for Reaction and TransportCode1
Sources of Uncertainty in 3D Scene ReconstructionCode1
ASLFeat: Learning Local Features of Accurate Shape and LocalizationCode1
3D Object Reconstruction from Hand-Object InteractionsCode1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetryCode1
Event-based Stereo Visual OdometryCode1
InFusionSurf: Refining Neural RGB-D Surface Reconstruction Using Per-Frame Intrinsic Refinement and TSDF Fusion Prior LearningCode1
Efficient Implicit Neural Reconstruction Using LiDARCode1
E3D: Event-Based 3D Shape ReconstructionCode1
Show:102550
← PrevPage 20 of 94Next →

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