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 1751–1775 of 2326 papers

TitleStatusHype
Prompt2NeRF-PIL: Fast NeRF Generation via Pretrained Implicit Latent—0
3D Modeling: Camera Movement Estimation and path Correction for SFM Model using the Combination of Modified A-SIFT and Stereo System—0
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes—0
Pruning-based Topology Refinement of 3D Mesh using a 2D Alpha Mask—0
PS4PRO: Pixel-to-pixel Supervision for Photorealistic Rendering and Optimization—0
psPRF:Pansharpening Planar Neural Radiance Field for Generalized 3D Reconstruction Satellite Imagery—0
PUGS: Perceptual Uncertainty for Grasp Selection in Underwater Environments—0
Puzzle Similarity: A Perceptually-guided Cross-Reference Metric for Artifact Detection in 3D Scene Reconstructions—0
Unsupervised Style-based Explicit 3D Face Reconstruction from Single Image—0
PVSNet: Pixelwise Visibility-Aware Multi-View Stereo Network—0
Q-SLAM: Quadric Representations for Monocular SLAM—0
QUADify: Extracting Meshes with Pixel-level Details and Materials from Images—0
R2P: A Deep Learning Model from mmWave Radar to Point Cloud—0
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras—0
R3D-SWIN:Use Shifted Window Attention for Single-View 3D Reconstruction—0
UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building Instance Segmentation—0
Radiant Triangle Soup with Soft Connectivity Forces for 3D Reconstruction and Novel View Synthesis—0
RaFE: Generative Radiance Fields Restoration—0
RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories—0
Urban Radiance Fields—0
RANSAC based three points algorithm for ellipse fitting of spherical object's projection—0
RapidVol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans—0
ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping—0
RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers—0
RDD: Robust Feature Detector and Descriptor using Deformable Transformer—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