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 151–200 of 2326 papers

TitleStatusHype
Thin-Shell-SfT: Fine-Grained Monocular Non-rigid 3D Surface Tracking with Neural Deformation Fields—0
A Survey on Event-driven 3D Reconstruction: Development under Different Categories—0
MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction—0
Surface-Aware Distilled 3D Semantic Features—0
3D Modeling: Camera Movement Estimation and path Correction for SFM Model using the Combination of Modified A-SIFT and Stereo System—0
GaussianFocus: Constrained Attention Focus for 3D Gaussian Splatting—0
Pow3R: Empowering Unconstrained 3D Reconstruction with Camera and Scene Priors—0
DroneSplat: 3D Gaussian Splatting for Robust 3D Reconstruction from In-the-Wild Drone Imagery—0
Ex vivo experiment on vertebral body with defect representing bone metastasis—0
UniK3D: Universal Camera Monocular 3D EstimationCode4
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction—0
DreamTexture: Shape from Virtual Texture with Analysis by Augmentation—0
Reconstructing In-the-Wild Open-Vocabulary Human-Object Interactions—0
From Monocular Vision to Autonomous Action: Guiding Tumor Resection via 3D Reconstruction—0
CHROME: Clothed Human Reconstruction with Occlusion-Resilience and Multiview-Consistency from a Single Image—0
Uncertainty-Aware Diffusion Guided Refinement of 3D Scenes—0
SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization—0
Submillimeter-Accurate 3D Lumbar Spine Reconstruction from Biplanar X-Ray Images: Incorporating a Multi-Task Network and Landmark-Weighted Loss—0
SIR-DIFF: Sparse Image Sets Restoration with Multi-View Diffusion Model—0
Segmentation-Guided Neural Radiance Fields for Novel Street View Synthesis—0
Bolt3D: Generating 3D Scenes in Seconds—0
BG-Triangle: Bézier Gaussian Triangle for 3D Vectorization and Rendering—0
CompMarkGS: Robust Watermarking for Compressed 3D Gaussian Splatting—0
Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey—0
WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and ScenesCode2
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes—0
Using 3D reconstruction from image motion to predict total leaf area in dwarf tomato plants—0
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene ReconstructionCode1
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
X-Field: A Physically Grounded Representation for 3D X-ray ReconstructionCode1
CDI3D: Cross-guided Dense-view Interpolation for 3D Reconstruction—0
GarmentCrafter: Progressive Novel View Synthesis for Single-View 3D Garment Reconstruction and Editing—0
Acoustic Neural 3D Reconstruction Under Pose Drift—0
Alligat0R: Pre-Training Through Co-Visibility Segmentation for Relative Camera Pose Regression—0
GM-MoE: Low-Light Enhancement with Gated-Mechanism Mixture-of-Experts—0
PE3R: Perception-Efficient 3D ReconstructionCode3
Sub-Image Recapture for Multi-View 3D Reconstruction—0
Multi-Modal 3D Mesh Reconstruction from Images and Text—0
NeAS: 3D Reconstruction from X-ray Images using Neural Attenuation Surface—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
Semantic Communication-Enabled Cloud-Edge-End-collaborative Metaverse Services Architecure—0
RGB-Phase Speckle: Cross-Scene Stereo 3D Reconstruction via Wrapped Pre-Normalization—0
Bayesian Fields: Task-driven Open-Set Semantic Gaussian Splatting—0
GaussianCAD: Robust Self-Supervised CAD Reconstruction from Three Orthographic Views Using 3D Gaussian Splatting—0
Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting—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