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 10761100 of 2326 papers

TitleStatusHype
Progressive Learning of 3D Reconstruction Network from 2D GAN Data0
Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time0
AutoRecon: Automated 3D Object Discovery and Reconstruction0
Towards a Better Understanding of the Computer Vision Research Community in Africa0
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networksCode1
3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data InversionCode1
RelPose++: Recovering 6D Poses from Sparse-view ObservationsCode2
UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building Instance Segmentation0
3D Reconstruction of Objects in Hands without Real World 3D Supervision0
Robot Goes Fishing: Rapid, High-Resolution Biological Hotspot Mapping in Coral Reefs with Vision-Guided Autonomous Underwater VehiclesCode1
Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies0
Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection0
Maximum Likelihood based Phase-Retrieval using Fresnel Propagation Forward Models with Optional ConstraintsCode1
NSLF-OL: Online Learning of Neural Surface Light Fields alongside Real-time Incremental 3D Reconstruction0
Combining HoloLens with Instant-NeRFs: Advanced Real-Time 3D Mobile Mapping0
Learning Articulated Shape with Keypoint Pseudo-labels from Web Images0
Multi-View Stereo Representation Revisit: Region-Aware MVSNet0
Shape-Net: Room Layout Estimation from Panoramic Images Robust to Occlusion using Knowledge Distillation with 3D Shapes as Additional Inputs0
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object ReconstructionCode1
Unsupervised Style-based Explicit 3D Face Reconstruction from Single Image0
NoiseTrans: Point Cloud Denoising with Transformers0
Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting0
UHRNet: A Deep Learning-Based Method for Accurate 3D Reconstruction from a Single Fringe-PatternCode1
A geometry-aware deep network for depth estimation in monocular endoscopyCode1
A Comparative Neural Radiance Field (NeRF) 3D Analysis of Camera Poses from HoloLens Trajectories and Structure from Motion0
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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