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 601–625 of 2326 papers

TitleStatusHype
APC2Mesh: Bridging the gap from occluded building façades to full 3D models—0
3D Scanning System for Automatic High-Resolution Plant Phenotyping—0
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials—0
Efficient Second-Order Plane Adjustment—0
D2IM-Net: Learning Detail Disentangled Implicit Fields From Single Images—0
D^2IM-Net: Learning Detail Disentangled Implicit Fields from Single Images—0
Co-Attention for Conditioned Image Matching—0
D2D: Keypoint Extraction with Describe to Detect Approach—0
A Novel Self-Intersection Penalty Term for Statistical Body Shape Models and Its Applications in 3D Pose Estimation—0
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle—0
Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform—0
AniSDF: Fused-Granularity Neural Surfaces with Anisotropic Encoding for High-Fidelity 3D Reconstruction—0
CvxNet: Learnable Convex Decomposition—0
Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparison—0
An Interactive Control Approach to 3D Shape Reconstruction—0
3DRIMR: 3D Reconstruction and Imaging via mmWave Radar based on Deep Learning—0
An Integrated Platform for Live 3D Human Reconstruction and Motion Capturing—0
Structure from Motion-based Motion Estimation and 3D Reconstruction of Unknown Shaped Space Debris—0
Ctrl123: Consistent Novel View Synthesis via Closed-Loop Transcription—0
An Immersive Multi-Elevation Multi-Seasonal Dataset for 3D Reconstruction and Visualization—0
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation—0
CSS: Overcoming Pose and Scene Challenges in Crowd-Sourced 3D Gaussian Splatting—0
CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders—0
An Illumination-Robust Feature Extractor Augmented by Relightable 3D Reconstruction—0
Calculating Pose with Vanishing Points of Visual-Sphere Perspective Model—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