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 351375 of 2326 papers

TitleStatusHype
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth EstimationCode1
Matérn Kernels for Tunable Implicit Surface ReconstructionCode1
MBW: Multi-view Bootstrapping in the WildCode1
Detecting Line Segments in Motion-blurred Images with EventsCode1
DeOcc-1-to-3: 3D De-Occlusion from a Single Image via Self-Supervised Multi-View DiffusionCode1
f-SfT: Shape-From-Template With a Physics-Based Deformation ModelCode1
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral TomographyCode1
Fully Understanding Generic Objects: Modeling, Segmentation, and ReconstructionCode1
MaRF: Representing Mars as Neural Radiance FieldsCode1
MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby ReferencesCode1
MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene RepresentationCode1
Mismatched: Evaluating the Limits of Image Matching Approaches and BenchmarksCode1
BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single ImageCode1
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View StereoCode1
Deep Two-View Structure-from-Motion RevisitedCode1
C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT ReconstructionCode1
Automated Aircraft Dent Inspection via a Modified Fourier Transform Profilometry AlgorithmCode1
DeepShadow: Neural Shape from ShadowCode1
Generative Object Insertion in Gaussian Splatting with a Multi-View Diffusion ModelCode1
Camera Calibration through Camera Projection LossCode1
Camera Calibration through Geometric Constraints from Rotation and Projection MatricesCode1
3D Reconstruction and New View Synthesis of Indoor Environments based on a Dual Neural Radiance FieldCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D ReconstructionCode1
Long-Range Grouping Transformer for Multi-View 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