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 1051–1075 of 2326 papers

TitleStatusHype
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D DataCode1
SMART: Spatial Modeling Algorithms for Reaction and TransportCode1
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
Enhance-NeRF: Multiple Performance Evaluation for Neural Radiance FieldsCode1
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
Image Reconstruction for Accelerated MR Scan with Faster Fourier Convolutional Neural Networks—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
Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented RepresentationsCode0
BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single ImageCode1
DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene GenerationCode1
Robust Category-Level 3D Pose Estimation from Synthetic Data—0
T2TD: Text-3D Generation Model based on Prior Knowledge Guidance—0
Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos—0
Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature DisentanglementCode0
Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D ScansCode1
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
Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance FieldsCode1
Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic ModelsCode1
Progressive Learning of 3D Reconstruction Network from 2D GAN Data—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