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 551–600 of 2326 papers

TitleStatusHype
DISORF: A Distributed Online 3D Reconstruction Framework for Mobile RobotsCode1
DITTO: Dual and Integrated Latent Topologies for Implicit 3D ReconstructionCode1
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume ReconstructionCode1
D2-Net: A Trainable CNN for Joint Detection and Description of Local FeaturesCode1
Doppelgangers: Learning to Disambiguate Images of Similar StructuresCode1
Few-Shot Single-View 3-D Object Reconstruction with Compositional PriorsCode1
Replay: Multi-modal Multi-view Acted Videos for Casual HolographyCode1
FineRecon: Depth-aware Feed-forward Network for Detailed 3D ReconstructionCode1
A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and BeyondCode1
RoutedFusion: Learning Real-time Depth Map FusionCode1
SERV-CT: A disparity dataset from CT for validation of endoscopic 3D reconstructionCode1
3D Shape Reconstruction from Sketches via Multi-view Convolutional NetworksCode0
RayNet: Learning Volumetric 3D Reconstruction with Ray PotentialsCode0
Quadtree-accelerated Real-time Monocular Dense MappingCode0
ARCH: Animatable Reconstruction of Clothed HumansCode0
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep LearningCode0
A Radiometric Correction based Optical Modeling Approach to Removing Reflection Noise in TLS Point Clouds of Urban ScenesCode0
PU-GCN: Point Cloud Upsampling using Graph Convolutional NetworksCode0
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?Code0
PU-GAN: a Point Cloud Upsampling Adversarial NetworkCode0
Probabilistic Inference for Camera Calibration in Light Microscopy under Circular MotionCode0
Probabilistic Reconstruction Networks for 3D Shape Inference from a Single ImageCode0
Predicting the Next Best View for 3D Mesh RefinementCode0
Pyramid Multi-view Stereo Net with Self-adaptive View AggregationCode0
Point Tracking in Surgery--The 2024 Surgical Tattoos in Infrared (STIR) ChallengeCode0
DeepCalib: a deep learning approach for automatic intrinsic calibration of wide field-of-view camerasCode0
A Point Set Generation Network for 3D Object Reconstruction from a Single ImageCode0
Pix3D: Dataset and Methods for Single-Image 3D Shape ModelingCode0
D2-Net: A Trainable CNN for Joint Description and Detection of Local FeaturesCode0
PLMP -- Point-Line Minimal Problems in Complete Multi-View VisibilityCode0
PQ-NET: A Generative Part Seq2Seq Network for 3D ShapesCode0
Photometric Mesh Optimization for Video-Aligned 3D Object ReconstructionCode0
Photometric Bundle Adjustment for Dense Multi-View 3D ModelingCode0
Cumulative Assessment for Urban 3D ModelingCode0
Cultural Heritage 3D Reconstruction with Diffusion NetworksCode0
Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumesCode0
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single ImageCode0
PhysicsNeRF: Physics-Guided 3D Reconstruction from Sparse ViewsCode0
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAMCode0
A Neural Network Approach to Missing Marker Reconstruction in Human Motion CaptureCode0
P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked AutoencodersCode0
PanoRecon: Real-Time Panoptic 3D Reconstruction from Monocular VideoCode0
3D reconstruction using Structure for MotionCode0
OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy RepresentationCode0
An Efficient Sampling-based Method for Online Informative Path Planning in Unknown EnvironmentsCode0
Cost Volume Pyramid Based Depth Inference for Multi-View StereoCode0
Mapping Semantic Segmentation to Point Clouds Using Structure from Motion for Forest AnalysisCode0
On the Issues of TrueDepth Sensor Data for Computer Vision Tasks Across Different iPad GenerationsCode0
Corner-Based Geometric Calibration of Multi-Focus Plenoptic CamerasCode0
On the Localization of Ultrasound Image Slices within Point Distribution ModelsCode0
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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