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 1001–1025 of 2326 papers

TitleStatusHype
Conceptual Study and Performance Analysis of Tandem Dual-Antenna Spaceborne SAR Interferometry—0
Gaussian Fusion: Accurate 3D Reconstruction via Geometry-Guided Displacement Interpolation—0
GaussianFocus: Constrained Attention Focus for 3D Gaussian Splatting—0
Analysis of critical parameters of satellite stereo image for 3D reconstruction and mapping—0
GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise—0
Computer vision tasks for intelligent aerospace missions: An overview—0
GaussianCAD: Robust Self-Supervised CAD Reconstruction from Three Orthographic Views Using 3D Gaussian Splatting—0
Image-based underwater 3D reconstruction for Cultural Heritage: from image collection to 3D. Critical steps and considerations—0
GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians—0
Image compression optimized for 3D reconstruction by utilizing deep neural networks—0
Computer vision in automated parking systems: Design, implementation and challenges—0
An adversarial feature learning based semantic communication method for Human 3D Reconstruction—0
Image-to-Voxel Model Translation for 3D Scene Reconstruction and Segmentation—0
3D Reconstruction of unstained cells from a single defocused hologram—0
GarmentCrafter: Progressive Novel View Synthesis for Single-View 3D Garment Reconstruction and Editing—0
Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study—0
GaPT-DAR: Category-level Garments Pose Tracking via Integrated 2D Deformation and 3D Reconstruction—0
GANESH: Generalizable NeRF for Lensless Imaging—0
Computational 3D topographic microscopy from terabytes of data per sample—0
Improving 3D Finger Traits Recognition via Generalizable Neural Rendering—0
CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference—0
Galois/monodromy groups for decomposing minimal problems in 3D reconstruction—0
CompMarkGS: Robust Watermarking for Compressed 3D Gaussian Splatting—0
A Multiple-View Geometric Model for Specularity Prediction on General Curved Surfaces—0
3D Reconstruction of Transparent Objects With Position-Normal Consistency—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