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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 2326 papers

TitleStatusHype
Learning Online Multi-Sensor Depth FusionCode1
BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume FusionCode1
Online panoptic 3D reconstruction as a Linear Assignment ProblemCode1
RFNet-4D++: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds with Cross-Attention Spatio-Temporal FeaturesCode1
3D Shape Reconstruction from 2D Images with Disentangled Attribute FlowCode1
DeepShadow: Neural Shape from ShadowCode1
PlaneMVS: 3D Plane Reconstruction from Multi-View StereoCode1
φ-SfT: Shape-from-Template with a Physics-Based Deformation ModelCode1
Multi-sensor large-scale dataset for multi-view 3D reconstructionCode1
Human-Aware Object Placement for Visual Environment ReconstructionCode1
Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D ReconstructionCode1
NeAT: Neural Adaptive TomographyCode1
HRBF-Fusion: Accurate 3D reconstruction from RGB-D data using on-the-fly implicitsCode1
Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination SystemsCode1
FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face ExtractionCode1
Automated Aircraft Dent Inspection via a Modified Fourier Transform Profilometry AlgorithmCode1
f-SfT: Shape-From-Template With a Physics-Based Deformation ModelCode1
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth EstimationCode1
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and ResultsCode1
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral TomographyCode1
Improving neural implicit surfaces geometry with patch warpingCode1
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional NetworkCode1
Curvature-guided dynamic scale networks for Multi-view StereoCode1
ScaleNet: A Shallow Architecture for Scale EstimationCode1
Adversarial Parametric Pose PriorCode1
Generalized Binary Search Network for Highly-Efficient Multi-View StereoCode1
CoNeRF: Controllable Neural Radiance FieldsCode1
3D Reconstruction Using a Linear Laser Scanner and a CameraCode1
VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and FusionCode1
Generating Diverse 3D Reconstructions from a Single Occluded Face ImageCode1
MonoScene: Monocular 3D Semantic Scene CompletionCode1
3DVNet: Multi-View Depth Prediction and Volumetric RefinementCode1
A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction NetworksCode1
Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in VideosCode1
TransMVSNet: Global Context-aware Multi-view Stereo Network with TransformersCode1
Gradient-SDF: A Semi-Implicit Surface Representation for 3D ReconstructionCode1
VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance FieldCode1
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view StereoCode1
FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face ReconstructionCode1
UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D ModelCode1
IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D ReconstructionCode1
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit RepresentationsCode1
NeuralBlox: Real-Time Neural Representation Fusion for Robust Volumetric MappingCode1
3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with TransformersCode1
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the WildCode1
ABO: Dataset and Benchmarks for Real-World 3D Object UnderstandingCode1
Camera Calibration through Camera Projection LossCode1
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the WildCode1
PDC-Net+: Enhanced Probabilistic Dense Correspondence NetworkCode1
Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple ImagesCode1
Show:102550
← PrevPage 9 of 47Next →
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