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 19762000 of 2326 papers

TitleStatusHype
Live Reconstruction of Large-Scale Dynamic Outdoor WorldsCode0
Rolling-Shutter-Aware Differential SfM and Image Rectification0
Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction0
Incremental Visual-Inertial 3D Mesh Generation with Structural RegularitiesCode1
X-Section: Cross-Section Prediction for Enhanced RGBD Fusion0
Single-Image Piece-wise Planar 3D Reconstruction via Associative EmbeddingCode0
Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view ImagesCode1
A Novel Self-Intersection Penalty Term for Statistical Body Shape Models and Its Applications in 3D Pose Estimation0
Deep Level Sets: Implicit Surface Representations for 3D Shape Inference0
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 Network0
DeepSDF: Learning Continuous Signed Distance Functions for Shape RepresentationCode1
NRMVS: Non-Rigid Multi-View Stereo0
Neural RGB->D Sensing: Depth and Uncertainty from a Video CameraCode0
Application of a Modified Harmony Search Algorithm in the Optimal Arrangement of a Novel Three Dimensional Multiphase Flow Imaging Device0
A Spatial-temporal 3D Human Pose Reconstruction Framework0
RayNet: Learning Volumetric 3D Reconstruction with Ray PotentialsCode0
Diffeomorphic registration with intensity transformation and missing data: Application to 3D digital pathology of Alzheimer’s disease0
Rendu basé image avec contraintes sur les gradients0
Learning to Reconstruct Shapes from Unseen Classes0
FML: Face Model Learning from Videos0
3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansCode0
DeepCalib: a deep learning approach for automatic intrinsic calibration of wide field-of-view camerasCode0
A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction0
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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