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 2251–2275 of 2326 papers

TitleStatusHype
Experimental Assessment of Neural 3D Reconstruction for Small UAV-based Applications—0
Experimental Results of a 3D Millimeter-Wave Compressive-Reflector-Antenna Imaging System—0
Taming Feed-forward Reconstruction Models as Latent Encoders for 3D Generative Models—0
Exploiting 3D Shape Bias towards Robust Vision—0
Exploiting High Level Scene Cues in Stereo Reconstruction—0
Exploiting Multiple Priors for Neural 3D Indoor Reconstruction—0
Exploiting Object Similarity in 3D Reconstruction—0
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis—0
Exploring Seasonal Variability in the Context of Neural Radiance Fields for 3D Reconstruction on Satellite Imagery—0
Extraction of Key-frames of Endoscopic Videos by using Depth Information—0
Taming Latent Diffusion Model for Neural Radiance Field Inpainting—0
Extreme Rotation Estimation in the Wild—0
Ex vivo experiment on vertebral body with defect representing bone metastasis—0
Eyeglasses 3D shape reconstruction from a single face image—0
Face Normals "In-The-Wild" Using Fully Convolutional Networks—0
UlRe-NeRF: 3D Ultrasound Imaging through Neural Rendering with Ultrasound Reflection Direction Parameterization—0
Facetwise Mesh Refinement for Multi-View Stereo—0
Facial Surgery Preview Based on the Orthognathic Treatment Prediction—0
Fast 3D Reconstruction of Faces With Glasses—0
Fast 3D Volumetric Image Reconstruction from 2D MRI Slices by Parallel Processing—0
Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction—0
Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction—0
Target Height Estimation Using a Single Acoustic Camera for Compensation in 2D Seabed Mosaicking—0
Task-agnostic Temporally Consistent Facial Video Editing—0
Advanced 3D Imaging Approach to TSV/TGV Metrology and Inspection Using Only Optical Microscopy—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