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

Showing 19511975 of 2326 papers

TitleStatusHype
Using Orthophoto for Building Boundary Sharpening in the Digital Surface Model0
Learning Perspective Undistortion of Portraits0
Analysis of critical parameters of satellite stereo image for 3D reconstruction and mapping0
Disparity-Augmented Trajectories for Human Activity Recognition0
Structure from Articulated Motion: Accurate and Stable Monocular 3D Reconstruction without Training Data0
On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes0
D2-Net: A Trainable CNN for Joint Detection and Description of Local FeaturesCode1
What Do Single-view 3D Reconstruction Networks Learn?0
Endoscopy artifact detection (EAD 2019) challenge dataset0
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 Reconstruction0
RevealNet: Seeing Behind Objects in RGB-D Scans0
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction0
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 Wild0
StereoDRNet: Dilated Residual Stereo Net0
Defogging Kinect: Simultaneous Estimation of Object Region and Depth in Foggy Scenes0
Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving0
Hieroglyph: Hierarchical Glia Graph Skeletonization and Matching0
PLMP -- Point-Line Minimal Problems in Complete Multi-View VisibilityCode0
Sparse2Dense: From direct sparse odometry to dense 3D reconstruction0
Photometric Mesh Optimization for Video-Aligned 3D Object ReconstructionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
13D-R2N2Overall0.63Unverified
2GipumaOverall0.58Unverified
3COLMAPOverall0.53Unverified
4MVSNetOverall0.46Unverified
5Vis-MVSNetOverall0.37Unverified
6AA-RMVSNetOverall0.36Unverified
7Cas-MVSNetOverall0.36Unverified
8EPP-MVSNetOverall0.36Unverified
9PatchmatchNetOverall0.35Unverified
10CVP-MVSNetOverall0.35Unverified
#ModelMetricClaimedVerifiedStatus
1MD-GONIoU92.8Unverified
2POCOIoU92.6Unverified
3FS-SDFIoU91.2Unverified
4DP-ConvONetIoU89.5Unverified
5ConvONetIoU88.4Unverified
6ONetIoU76.1Unverified
7EVolTIoU73.8Unverified
8ZubicLioIoU65.43Unverified
#ModelMetricClaimedVerifiedStatus
1AttSets3DIoU0.64Unverified
2PSGN3DIoU0.64Unverified
3OGN3DIoU0.6Unverified
43D-R2N23DIoU0.56Unverified
#ModelMetricClaimedVerifiedStatus
1Scan2CADAverage Accuracy31.68Unverified
23DMatchAverage Accuracy10.29Unverified
#ModelMetricClaimedVerifiedStatus
1SVCPChamfer10Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy18.2Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy5.7Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)3DIoU89.4Unverified