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 1351–1375 of 2326 papers

TitleStatusHype
RGB-D Mapping and Tracking in a Plenoxel Radiance FieldCode0
Depth Estimation Analysis of Orthogonally Divergent Fisheye Cameras with Distortion Removal—0
Conceptual Study and Performance Analysis of Tandem Dual-Antenna Spaceborne SAR Interferometry—0
Enhancing Neural Rendering Methods with Image Augmentations—0
Learning to Predict Scene-Level Implicit 3D from Posed RGBD Data—0
CryoChains: Heterogeneous Reconstruction of Molecular Assembly of Semi-flexible Chains from Cryo-EM Images—0
3D reconstruction using Structure for MotionCode0
NERFBK: A High-Quality Benchmark for NERF-Based 3D Reconstruction—0
Weakly Supervised 3D Object Detection with Multi-Stage Generalization—0
BU-CVKit: Extendable Computer Vision Framework for Species Independent Tracking and Analysis—0
DiViNeT: 3D Reconstruction from Disparate Views via Neural Template Regularization—0
Computational 3D topographic microscopy from terabytes of data per sample—0
Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data—0
Image Reconstruction for Accelerated MR Scan with Faster Fourier Convolutional Neural Networks—0
Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented RepresentationsCode0
Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos—0
T2TD: Text-3D Generation Model based on Prior Knowledge Guidance—0
Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature DisentanglementCode0
Robust Category-Level 3D Pose Estimation from Synthetic Data—0
SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image—0
RGB-D And Thermal Sensor Fusion: A Systematic Literature Review—0
Progressive Learning of 3D Reconstruction Network from 2D GAN Data—0
Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time—0
AutoRecon: Automated 3D Object Discovery and Reconstruction—0
Towards a Better Understanding of the Computer Vision Research Community in Africa—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