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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 726–750 of 2326 papers

TitleStatusHype
3DArticCyclists: Generating Synthetic Articulated 8D Pose-Controllable Cyclist Data for Computer Vision Applications—0
Fine-detailed Neural Indoor Scene Reconstruction using multi-level importance sampling and multi-view consistency—0
Clean-NeRF: Reformulating NeRF to account for View-Dependent Observations—0
Class Specific 3D Object Shape Priors Using Surface Normals—0
CHROME: Clothed Human Reconstruction with Occlusion-Resilience and Multiview-Consistency from a Single Image—0
A grid-point detection method based on U-net for a structured light system—0
3D Annotation Of Arbitrary Objects In The Wild—0
AGG: Amortized Generative 3D Gaussians for Single Image to 3D—0
3D Reconstruction of Protein Structures from Multi-view AFM Images using Neural Radiance Fields (NeRFs)—0
CharNeRF: 3D Character Generation from Concept Art—0
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds—0
Efficient NeRF Optimization -- Not All Samples Remain Equally Hard—0
UlRe-NeRF: 3D Ultrasound Imaging through Neural Rendering with Ultrasound Reflection Direction Parameterization—0
Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems—0
A Generic Multi-Projection-Center Model and Calibration Method for Light Field Cameras—0
CD-NGP: A Fast Scalable Continual Representation for Dynamic Scenes—0
CDI3D: Cross-guided Dense-view Interpolation for 3D Reconstruction—0
A Generative Machine Learning Model for Material Microstructure 3D Reconstruction and Performance Evaluation—0
CD^2: Fine-grained 3D Mesh Reconstruction With Twice Chamfer Distance—0
A Generative Approach to High Fidelity 3D Reconstruction from Text Data—0
CCL-LGS: Contrastive Codebook Learning for 3D Language Gaussian Splatting—0
CCD-3DR: Consistent Conditioning in Diffusion for Single-Image 3D Reconstruction—0
A Fusion of Variational Distribution Priors and Saliency Map Replay for Continual 3D Reconstruction—0
3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images—0
Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation—0
Show:102550
← PrevPage 30 of 94Next →
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