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 701–750 of 2326 papers

TitleStatusHype
Segmentation-Guided Neural Radiance Fields for Novel Street View Synthesis—0
Bolt3D: Generating 3D Scenes in Seconds—0
SIR-DIFF: Sparse Image Sets Restoration with Multi-View Diffusion Model—0
BG-Triangle: Bézier Gaussian Triangle for 3D Vectorization and Rendering—0
Submillimeter-Accurate 3D Lumbar Spine Reconstruction from Biplanar X-Ray Images: Incorporating a Multi-Task Network and Landmark-Weighted Loss—0
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes—0
CompMarkGS: Robust Watermarking for Compressed 3D Gaussian Splatting—0
Using 3D reconstruction from image motion to predict total leaf area in dwarf tomato plants—0
Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey—0
Enhanced Multi-View Pedestrian Detection Using Probabilistic Occupancy Volume—0
Bring Your Rear Cameras for Egocentric 3D Human Pose Estimation—0
Deep Learning-Based Direct Leaf Area Estimation using Two RGBD Datasets for Model Development—0
Reference-Free 3D Reconstruction of Brain Dissection Photographs with Machine LearningCode0
WonderVerse: Extendable 3D Scene Generation with Video Generative Models—0
GarmentCrafter: Progressive Novel View Synthesis for Single-View 3D Garment Reconstruction and Editing—0
CDI3D: Cross-guided Dense-view Interpolation for 3D Reconstruction—0
Acoustic Neural 3D Reconstruction Under Pose Drift—0
GM-MoE: Low-Light Enhancement with Gated-Mechanism Mixture-of-Experts—0
Alligat0R: Pre-Training Through Co-Visibility Segmentation for Relative Camera Pose Regression—0
NeAS: 3D Reconstruction from X-ray Images using Neural Attenuation Surface—0
Multi-Modal 3D Mesh Reconstruction from Images and Text—0
Sub-Image Recapture for Multi-View 3D Reconstruction—0
StructGS: Adaptive Spherical Harmonics and Rendering Enhancements for Superior 3D Gaussian Splatting—0
Gaussian RBFNet: Gaussian Radial Basis Functions for Fast and Accurate Representation and Reconstruction of Neural Fields—0
RGB-Phase Speckle: Cross-Scene Stereo 3D Reconstruction via Wrapped Pre-Normalization—0
Semantic Communication-Enabled Cloud-Edge-End-collaborative Metaverse Services Architecure—0
GaussianCAD: Robust Self-Supervised CAD Reconstruction from Three Orthographic Views Using 3D Gaussian Splatting—0
Bayesian Fields: Task-driven Open-Set Semantic Gaussian Splatting—0
Beyond Existance: Fulfill 3D Reconstructed Scenes with Pseudo Details—0
Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting—0
NTR-Gaussian: Nighttime Dynamic Thermal Reconstruction with 4D Gaussian Splatting Based on Thermodynamics—0
A Generative Approach to High Fidelity 3D Reconstruction from Text Data—0
A self-supervised cyclic neural-analytic approach for novel view synthesis and 3D reconstruction—0
Tracking-Aware Deformation Field Estimation for Non-rigid 3D Reconstruction in Robotic Surgeries—0
VideoHandles: Editing 3D Object Compositions in Videos Using Video Generative Priors—0
AI-Driven Relocation Tracking in Dynamic Kitchen EnvironmentsCode0
Difix3D+: Improving 3D Reconstructions with Single-Step Diffusion Models—0
Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array CalibrationCode0
Seeing A 3D World in A Grain of Sand—0
Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparison—0
Spatial Analysis of Neuromuscular Junctions Activation in Three-Dimensional Histology-based Muscle ReconstructionsCode0
Synthesizing Consistent Novel Views via 3D Epipolar Attention without Re-TrainingCode0
Unposed Sparse Views Room Layout Reconstruction in the Age of Pretrain Model—0
Laplace-Beltrami Operator for Gaussian Splatting—0
Graph-Guided Scene Reconstruction from Images with 3D Gaussian Splatting—0
Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object ReconstructionCode0
Structure-from-Sherds++: Robust Incremental 3D Reassembly of Axially Symmetric Pots from Unordered and Mixed Fragment Collections—0
Betsu-Betsu: Multi-View Separable 3D Reconstruction of Two Interacting Objects—0
IM360: Textured Mesh Reconstruction for Large-scale Indoor Mapping with 360^ Cameras—0
ROI-NeRFs: Hi-Fi Visualization of Objects of Interest within a Scene by NeRFs Composition—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