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 601–650 of 2326 papers

TitleStatusHype
Mapping Semantic Segmentation to Point Clouds Using Structure from Motion for Forest AnalysisCode0
Point Tracking in Surgery--The 2024 Surgical Tattoos in Infrared (STIR) ChallengeCode0
Corner-Based Geometric Calibration of Multi-Focus Plenoptic CamerasCode0
PQ-NET: A Generative Part Seq2Seq Network for 3D ShapesCode0
Pix3D: Dataset and Methods for Single-Image 3D Shape ModelingCode0
Context-Aware Outlier Rejection for Robust Multi-View 3D Tracking of Similar Small Birds in An Outdoor AviaryCode0
Photometric Mesh Optimization for Video-Aligned 3D Object ReconstructionCode0
Photometric Bundle Adjustment for Dense Multi-View 3D ModelingCode0
PhysicsNeRF: Physics-Guided 3D Reconstruction from Sparse ViewsCode0
PLMP -- Point-Line Minimal Problems in Complete Multi-View VisibilityCode0
3DGSR: Implicit Surface Reconstruction with 3D Gaussian SplattingCode0
Compressing 3D Gaussian Splatting by Noise-Substituted Vector QuantizationCode0
A metric for evaluating 3D reconstruction and mapping performance with no ground truthingCode0
PanoRecon: Real-Time Panoptic 3D Reconstruction from Monocular VideoCode0
P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked AutoencodersCode0
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAMCode0
On the Localization of Ultrasound Image Slices within Point Distribution ModelsCode0
OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy RepresentationCode0
On the Issues of TrueDepth Sensor Data for Computer Vision Tasks Across Different iPad GenerationsCode0
One Framework to Register Them All: PointNet Encoding for Point Cloud AlignmentCode0
On Learning 3D Face Morphable Model from In-the-wild ImagesCode0
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance FieldsCode0
OMEGAS: Object Mesh Extraction from Large Scenes Guided by Gaussian SegmentationCode0
OctNetFusion: Learning Depth Fusion from DataCode0
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D OutputsCode0
AI-Driven Relocation Tracking in Dynamic Kitchen EnvironmentsCode0
3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit ModelsCode0
No-reference geometry quality assessment for colorless point clouds via list-wise rank learningCode0
ChESS - Quick and Robust Detection of Chess-board FeaturesCode0
3D genome reconstruction from partially phased Hi-C dataCode0
Neural RGB->D Sensing: Depth and Uncertainty from a Video CameraCode0
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor ScenesCode0
Nonlinear 3D Face Morphable ModelCode0
Object Pose Estimation using Mid-level Visual RepresentationsCode0
NeSLAM: Neural Implicit Mapping and Self-Supervised Feature Tracking With Depth Completion and DenoisingCode0
Category-level Neural Field for Reconstruction of Partially Observed Objects in Indoor EnvironmentCode0
2S-UDF: A Novel Two-stage UDF Learning Method for Robust Non-watertight Model Reconstruction from Multi-view ImagesCode0
3D2M Dataset: A 3-Dimension diverse Mesh DatasetCode0
CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of VehiclesCode0
NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic RadiographsCode0
Mutli-View 3D Reconstruction using Knowledge DistillationCode0
BVI-CR: A Multi-View Human Dataset for Volumetric Video CompressionCode0
3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial NetworkCode0
Advancing Adversarial Robustness in GNeRFs: The IL2-NeRF AttackCode0
MPF-GAN: an enhanced architecture for 3D face reconstructionCode0
Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array CalibrationCode0
Multi-task Planar Reconstruction with Feature Warping GuidanceCode0
Multiview Supervision By RegistrationCode0
Micro-macro Gaussian Splatting with Enhanced Scalability for Unconstrained Scene ReconstructionCode0
Matchable Image Retrieval by Learning from Surface ReconstructionCode0
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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