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 601625 of 2326 papers

TitleStatusHype
PU-GCN: Point Cloud Upsampling using Graph Convolutional NetworksCode0
Context-Aware Outlier Rejection for Robust Multi-View 3D Tracking of Similar Small Birds in An Outdoor AviaryCode0
P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked AutoencodersCode0
PanoRecon: Real-Time Panoptic 3D Reconstruction from Monocular VideoCode0
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAMCode0
On the Localization of Ultrasound Image Slices within Point Distribution ModelsCode0
On the Issues of TrueDepth Sensor Data for Computer Vision Tasks Across Different iPad GenerationsCode0
OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy RepresentationCode0
One Framework to Register Them All: PointNet Encoding for Point Cloud AlignmentCode0
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance FieldsCode0
3DGSR: Implicit Surface Reconstruction with 3D Gaussian SplattingCode0
OMEGAS: Object Mesh Extraction from Large Scenes Guided by Gaussian SegmentationCode0
Compressing 3D Gaussian Splatting by Noise-Substituted Vector QuantizationCode0
On Learning 3D Face Morphable Model from In-the-wild ImagesCode0
A metric for evaluating 3D reconstruction and mapping performance with no ground truthingCode0
OctNetFusion: Learning Depth Fusion from DataCode0
Object Pose Estimation using Mid-level Visual RepresentationsCode0
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D OutputsCode0
Nonlinear 3D Face Morphable ModelCode0
Neural RGB->D Sensing: Depth and Uncertainty from a Video CameraCode0
No-reference geometry quality assessment for colorless point clouds via list-wise rank learningCode0
AI-Driven Relocation Tracking in Dynamic Kitchen EnvironmentsCode0
3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit ModelsCode0
ChESS - Quick and Robust Detection of Chess-board FeaturesCode0
3D genome reconstruction from partially phased Hi-C dataCode0
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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