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 551575 of 2326 papers

TitleStatusHype
Detecting Line Segments in Motion-blurred Images with EventsCode1
D2-Net: A Trainable CNN for Joint Detection and Description of Local FeaturesCode1
FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face ReconstructionCode1
FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face ExtractionCode1
3DVNet: Multi-View Depth Prediction and Volumetric RefinementCode1
Fast and Lightweight Scene Regressor for Camera RelocalizationCode1
GenDR: A Generalized Differentiable RendererCode1
Real-Time Dense 3D Mapping of Underwater EnvironmentsCode1
A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and BeyondCode1
ScaleNet: A Shallow Architecture for Scale EstimationCode1
3D Pose Estimation of Two Interacting Hands from a Monocular Event CameraCode1
3D Shape Reconstruction from Sketches via Multi-view Convolutional NetworksCode0
PLMP -- Point-Line Minimal Problems in Complete Multi-View VisibilityCode0
ARCH: Animatable Reconstruction of Clothed HumansCode0
A Radiometric Correction based Optical Modeling Approach to Removing Reflection Noise in TLS Point Clouds of Urban ScenesCode0
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?Code0
PhysicsNeRF: Physics-Guided 3D Reconstruction from Sparse ViewsCode0
Photometric Mesh Optimization for Video-Aligned 3D Object ReconstructionCode0
Pix3D: Dataset and Methods for Single-Image 3D Shape ModelingCode0
DeepCalib: a deep learning approach for automatic intrinsic calibration of wide field-of-view camerasCode0
A Point Set Generation Network for 3D Object Reconstruction from a Single ImageCode0
D2-Net: A Trainable CNN for Joint Description and Detection of Local FeaturesCode0
Photometric Bundle Adjustment for Dense Multi-View 3D ModelingCode0
P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked AutoencodersCode0
PanoRecon: Real-Time Panoptic 3D Reconstruction from Monocular VideoCode0
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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