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 12511275 of 2326 papers

TitleStatusHype
Multi-task Learning for Camera CalibrationCode1
Towards Live 3D Reconstruction from Wearable Video: An Evaluation of V-SLAM, NeRF, and Videogrammetry Techniques0
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance FieldsCode2
Efficient Second-Order Plane Adjustment0
SegNeRF: 3D Part Segmentation with Neural Radiance Fields0
Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field InversionCode2
IC3D: Image-Conditioned 3D Diffusion for Shape Generation0
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and GenerationCode2
Semantic keypoint extraction for scanned animals using multi-depth-camera systemsCode0
3D Reconstruction-Based Seed Counting of Sorghum Panicles for Agricultural Inspection0
Controllable GAN Synthesis Using Non-Rigid Structure-from-Motion0
Detecting Line Segments in Motion-blurred Images with EventsCode1
Batch-based Model Registration for Fast 3D Sherd Reconstruction0
HOReeNet: 3D-aware Hand-Object Grasping Reenactment0
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories0
GARNet: Global-Aware Multi-View 3D Reconstruction Network and the Cost-Performance TradeoffCode0
Physics-informed neural networks for gravity currents reconstruction from limited data0
3D Reconstruction of Multiple Objects by mmWave Radar on UAV0
Semantic-SuPer: A Semantic-aware Surgical Perception Framework for Endoscopic Tissue Identification, Reconstruction, and TrackingCode1
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction0
Deep-MDS Framework for Recovering the 3D Shape of 2D Landmarks from a Single ImageCode0
Learning Neural Radiance Fields from Multi-View Geometry0
3D Reconstruction of unstained cells from a single defocused hologram0
One-Shot Neural Fields for 3D Object Understanding0
Multi-View Guided Multi-View StereoCode1
Show:102550
← PrevPage 51 of 94Next →

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