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

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Showing 1201–1225 of 2326 papers

TitleStatusHype
Image Reconstruction for Accelerated MR Scan with Faster Fourier Convolutional Neural Networks—0
Image-to-Voxel Model Translation for 3D Scene Reconstruction and Segmentation—0
Img2CAD: Conditioned 3D CAD Model Generation from Single Image with Structured Visual Geometry—0
Three-Dimensional Reconstruction of Human Interactions—0
Submillimeter-Accurate 3D Lumbar Spine Reconstruction from Biplanar X-Ray Images: Incorporating a Multi-Task Network and Landmark-Weighted Loss—0
IM-Portrait: Learning 3D-aware Video Diffusion for Photorealistic Talking Heads from Monocular VideosC—0
Improved Descriptors for Patch Matching and Reconstruction—0
Improving 3D Finger Traits Recognition via Generalizable Neural Rendering—0
CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference—0
Improving Geometry in Sparse-View 3DGS via Reprojection-based DoF Separation—0
Improving NeRF Quality by Progressive Camera Placement for Unrestricted Navigation in Complex Environments—0
Three-dimensional Segmentation of the Scoliotic Spine from MRI using Unsupervised Volume-based MR-CT Synthesis—0
Improving Neural Indoor Surface Reconstruction with Mask-Guided Adaptive Consistency Constraints—0
Improving the generalization of network based relative pose regression: dimension reduction as a regularizer—0
InAR:Inverse Augmented Reality—0
Weakly-supervised 3D coronary artery reconstruction from two-view angiographic images—0
Independent Sign Language Recognition with 3D Body, Hands, and Face Reconstruction—0
Indoor 3D Reconstruction with an Unknown Camera-Projector Pair—0
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers—0
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey—0
Inextensible Non-Rigid Shape-From-Motion by Second-Order Cone Programming—0
Inferring Implicit 3D Representations from Human Figures on Pictorial Maps—0
Inferring the 3D Standing Spine Posture from 2D Radiographs—0
Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving—0
Informative Rays Selection for Few-Shot Neural Radiance Fields—0
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All datasetsDTUShapeNetData3D−R2N2Scan2CAD3DPeopleAria Digital Twin DatasetAria Synthetic EnvironmentsScanNet

Benchmark Results

#ModelMetricClaimedVerifiedStatus
13D-R2N2Overall0.63—Unverified
2GipumaOverall0.58—Unverified
3COLMAPOverall0.53—Unverified
4MVSNetOverall0.46—Unverified
5Vis-MVSNetOverall0.37—Unverified
6AA-RMVSNetOverall0.36—Unverified
7Cas-MVSNetOverall0.36—Unverified
8EPP-MVSNetOverall0.36—Unverified
9PatchmatchNetOverall0.35—Unverified
10CVP-MVSNetOverall0.35—Unverified
#ModelMetricClaimedVerifiedStatus
1MD-GONIoU92.8—Unverified
2POCOIoU92.6—Unverified
3FS-SDFIoU91.2—Unverified
4DP-ConvONetIoU89.5—Unverified
5ConvONetIoU88.4—Unverified
6ONetIoU76.1—Unverified
7EVolTIoU73.8—Unverified
8ZubicLioIoU65.43—Unverified
#ModelMetricClaimedVerifiedStatus
1AttSets3DIoU0.64—Unverified
2PSGN3DIoU0.64—Unverified
3OGN3DIoU0.6—Unverified
43D-R2N23DIoU0.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Scan2CADAverage Accuracy31.68—Unverified
23DMatchAverage Accuracy10.29—Unverified
#ModelMetricClaimedVerifiedStatus
1SVCPChamfer10—Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy18.2—Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy5.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)3DIoU89.4—Unverified