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 401–450 of 2326 papers

TitleStatusHype
Target Height Estimation Using a Single Acoustic Camera for Compensation in 2D Seabed Mosaicking—0
3D Reconstruction by Looking: Instantaneous Blind Spot Detector for Indoor SLAM through Mixed Reality—0
TimeFormer: Capturing Temporal Relationships of Deformable 3D Gaussians for Robust ReconstructionCode1
Towards Degradation-Robust Reconstruction in Generalizable NeRF—0
BVI-CR: A Multi-View Human Dataset for Volumetric Video CompressionCode0
DiHuR: Diffusion-Guided Generalizable Human Reconstruction—0
Poster: Reliable 3D Reconstruction for Ad-hoc Edge Implementations—0
ARM: Appearance Reconstruction Model for Relightable 3D Generation—0
SPARS3R: Semantic Prior Alignment and Regularization for Sparse 3D ReconstructionCode2
The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods—0
USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian SplattingCode0
MFP3D: Monocular Food Portion Estimation Leveraging 3D Point Clouds—0
CropCraft: Inverse Procedural Modeling for 3D Reconstruction of Crop Plants—0
Biomass phenotyping of oilseed rape through UAV multi-view oblique imaging with 3DGS and SAM model—0
Extreme Rotation Estimation in the Wild—0
Benchmarking 3D multi-coil NC-PDNet MRI reconstruction—0
MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse ViewsCode3
GANESH: Generalizable NeRF for Lensless Imaging—0
Enhancing Bronchoscopy Depth Estimation through Synthetic-to-Real Domain Adaptation—0
These Maps Are Made by Propagation: Adapting Deep Stereo Networks to Road Scenarios with Decisive Disparity Diffusion—0
Exploring Seasonal Variability in the Context of Neural Radiance Fields for 3D Reconstruction on Satellite Imagery—0
Next Best View For Point-Cloud Model Acquisition: Bayesian Approximation and Uncertainty Analysis—0
LBurst: Learning-Based Robotic Burst Feature Extraction for 3D Reconstruction in Low Light—0
No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed ImagesCode4
Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images—0
PointRecon: Online Point-based 3D Reconstruction via Ray-based 2D-3D Matching—0
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference—0
PF3plat: Pose-Free Feed-Forward 3D Gaussian SplattingCode3
Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction—0
SS3DM: Benchmarking Street-View Surface Reconstruction with a Synthetic 3D Mesh Dataset—0
ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian SplattingsCode2
Neural rendering enables dynamic tomography—0
SCube: Instant Large-Scale Scene Reconstruction using VoxSplats—0
Neural Fields in Robotics: A SurveyCode5
Tracking and triangulating firefly flashes in field recordingsCode0
Large Spatial Model: End-to-end Unposed Images to Semantic 3DCode3
A Cranial-Feature-Based Registration Scheme for Robotic Micromanipulation Using a Microscopic Stereo Camera System—0
SpectroMotion: Dynamic 3D Reconstruction of Specular Scenes—0
E-3DGS: Gaussian Splatting with Exposure and Motion EventsCode1
EndoMetric: Near-Light Monocular Metric Scale Estimation in Endoscopy—0
UniGS: Modeling Unitary 3D Gaussians for Novel View Synthesis from Sparse-view ImagesCode1
Cascade learning in multi-task encoder-decoder networks for concurrent bone segmentation and glenohumeral joint assessment in shoulder CT scans—0
Robotic Arm Platform for Multi-View Image Acquisition and 3D Reconstruction in Minimally Invasive Surgery—0
Enhanced Encoder-Decoder Architecture for Accurate Monocular Depth EstimationCode0
Cultural Heritage 3D Reconstruction with Diffusion NetworksCode0
3DArticCyclists: Generating Synthetic Articulated 8D Pose-Controllable Cyclist Data for Computer Vision Applications—0
Improving 3D Finger Traits Recognition via Generalizable Neural Rendering—0
Neurally Integrated Finite Elements for Differentiable Elasticity on Evolving Domains—0
SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction—0
Ego3DT: Tracking Every 3D Object in Ego-centric Videos—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