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 1951–2000 of 2326 papers

TitleStatusHype
HoloPose: Holistic 3D Human Reconstruction In-The-Wild—0
Learning Non-Volumetric Depth Fusion Using Successive ReprojectionsCode0
Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera—0
StereoDRNet: Dilated Residual StereoNet—0
D2-Net: A Trainable CNN for Joint Description and Detection of Local FeaturesCode0
3D Reconstruction of Whole Stomach from Endoscope Video Using Structure-from-Motion—0
DISN: Deep Implicit Surface Network for High-quality Single-view 3D ReconstructionCode0
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects—0
Plane-Based Optimization of Geometry and Texture for RGB-D Reconstruction of Indoor Scenes—0
Bi-objective Framework for Sensor Fusion in RGB-D Multi-View Systems: Applications in Calibration—0
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor ScenesCode0
Separating Overlapping Tissue Layers from Microscopy Images—0
Using Orthophoto for Building Boundary Sharpening in the Digital Surface Model—0
Learning Perspective Undistortion of Portraits—0
Analysis of critical parameters of satellite stereo image for 3D reconstruction and mapping—0
Disparity-Augmented Trajectories for Human Activity Recognition—0
Structure from Articulated Motion: Accurate and Stable Monocular 3D Reconstruction without Training Data—0
On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes—0
What Do Single-view 3D Reconstruction Networks Learn?—0
Endoscopy artifact detection (EAD 2019) challenge dataset—0
Learning Character-Agnostic Motion for Motion Retargeting in 2DCode0
Single Image 3D Hand Reconstruction with Mesh ConvolutionsCode0
IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction—0
RevealNet: Seeing Behind Objects in RGB-D Scans—0
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction—0
Transformable Bottleneck NetworksCode0
UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic ImagesCode0
Expressive Body Capture: 3D Hands, Face, and Body from a Single ImageCode0
Neural Rerendering in the Wild—0
StereoDRNet: Dilated Residual Stereo Net—0
Defogging Kinect: Simultaneous Estimation of Object Region and Depth in Foggy Scenes—0
Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving—0
Hieroglyph: Hierarchical Glia Graph Skeletonization and Matching—0
PLMP -- Point-Line Minimal Problems in Complete Multi-View VisibilityCode0
Sparse2Dense: From direct sparse odometry to dense 3D reconstruction—0
Photometric Mesh Optimization for Video-Aligned 3D Object ReconstructionCode0
Live Reconstruction of Large-Scale Dynamic Outdoor WorldsCode0
Rolling-Shutter-Aware Differential SfM and Image Rectification—0
Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction—0
X-Section: Cross-Section Prediction for Enhanced RGBD Fusion—0
Single-Image Piece-wise Planar 3D Reconstruction via Associative EmbeddingCode0
A Novel Self-Intersection Penalty Term for Statistical Body Shape Models and Its Applications in 3D Pose Estimation—0
Deep Level Sets: Implicit Surface Representations for 3D Shape Inference—0
Hybrid coarse-fine classification for head pose estimationCode0
Learning single-image 3D reconstruction by generative modelling of shape, pose and shadingCode0
Monocular Outdoor Semantic Mapping with a Multi-task Network—0
NRMVS: Non-Rigid Multi-View Stereo—0
Neural RGB->D Sensing: Depth and Uncertainty from a Video CameraCode0
A Spatial-temporal 3D Human Pose Reconstruction Framework—0
Application of a Modified Harmony Search Algorithm in the Optimal Arrangement of a Novel Three Dimensional Multiphase Flow Imaging Device—0
Show:102550
← PrevPage 40 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