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

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Showing 1076–1100 of 2326 papers

TitleStatusHype
Floorplan-Aware Camera Poses Refinement—0
Coherence As Texture - Passive Textureless 3D Reconstruction by Self-interference—0
A LBP Based Correspondence Identification Scheme for Multi-view Sensing Network—0
Floating No More: Object-Ground Reconstruction from a Single Image—0
Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras—0
CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations—0
Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation—0
FlashSLAM: Accelerated RGB-D SLAM for Real-Time 3D Scene Reconstruction with Gaussian Splatting—0
Coded Illumination for 3D Lensless Imaging—0
3D Reconstruction of Simple Objects from A Single View Silhouette Image—0
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering—0
Batch-based Model Registration for Fast 3D Sherd Reconstruction—0
FingerSLAM: Closed-loop Unknown Object Localization and Reconstruction from Visuo-tactile Feedback—0
AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark—0
Fine-detailed Neural Indoor Scene Reconstruction using multi-level importance sampling and multi-view consistency—0
Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation—0
Finding Waldo: Towards Efficient Exploration of NeRF Scene Spaces—0
Clustering Assisted Fundamental Matrix Estimation—0
3D Reconstruction of Shoes for Augmented Reality—0
3D-GMNet: Single-View 3D Shape Recovery as A Gaussian Mixture—0
3DArticCyclists: Generating Synthetic Articulated 8D Pose-Controllable Cyclist Data for Computer Vision Applications—0
Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network—0
Clean-NeRF: Reformulating NeRF to account for View-Dependent Observations—0
Class Specific 3D Object Shape Priors Using Surface Normals—0
Few-Shot Generalization for Single-Image 3D Reconstruction via Priors—0
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All datasetsDTUShapeNetData3D−R2N2Scan2CAD3DPeopleAria Digital Twin DatasetAria Synthetic EnvironmentsScanNet

Benchmark Results

#ModelMetricClaimedVerifiedStatus
13D-R2N2Overall0.63—Unverified
2GipumaOverall0.58—Unverified
3COLMAPOverall0.53—Unverified
4MVSNetOverall0.46—Unverified
5Vis-MVSNetOverall0.37—Unverified
6AA-RMVSNetOverall0.36—Unverified
7Cas-MVSNetOverall0.36—Unverified
8EPP-MVSNetOverall0.36—Unverified
9PatchmatchNetOverall0.35—Unverified
10CVP-MVSNetOverall0.35—Unverified
#ModelMetricClaimedVerifiedStatus
1MD-GONIoU92.8—Unverified
2POCOIoU92.6—Unverified
3FS-SDFIoU91.2—Unverified
4DP-ConvONetIoU89.5—Unverified
5ConvONetIoU88.4—Unverified
6ONetIoU76.1—Unverified
7EVolTIoU73.8—Unverified
8ZubicLioIoU65.43—Unverified
#ModelMetricClaimedVerifiedStatus
1AttSets3DIoU0.64—Unverified
2PSGN3DIoU0.64—Unverified
3OGN3DIoU0.6—Unverified
43D-R2N23DIoU0.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Scan2CADAverage Accuracy31.68—Unverified
23DMatchAverage Accuracy10.29—Unverified
#ModelMetricClaimedVerifiedStatus
1SVCPChamfer10—Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy18.2—Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy5.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)3DIoU89.4—Unverified