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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1251–1300 of 2326 papers

TitleStatusHype
Joint 3D Scene Reconstruction and Class Segmentation—0
Joint attitude estimation and 3D neural reconstruction of non-cooperative space objects—0
Joint Detection, Tracking and Mapping by Semantic Bundle Adjustment—0
Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion—0
Joint Layout Estimation and Global Multi-View Registration for Indoor Reconstruction—0
Jointly Aligning Millions of Images with Deep Penalised Reconstruction Congealing—0
Joint Reconstruction and Parcellation of Cortical Surfaces—0
Joint Texture and Geometry Optimization for RGB-D Reconstruction—0
AAA-Gaussians: Anti-Aliased and Artifact-Free 3D Gaussian Rendering—0
Just a Few Points Are All You Need for Multi-View Stereo: A Novel Semi-Supervised Learning Method for Multi-View Stereo—0
KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos—0
KillingFusion: Non-Rigid 3D Reconstruction Without Correspondences—0
TIFu: Tri-directional Implicit Function for High-Fidelity 3D Character Reconstruction—0
6-DoF Grasp Planning using Fast 3D Reconstruction and Grasp Quality CNN—0
4Real-Video-V2: Fused View-Time Attention and Feedforward Reconstruction for 4D Scene Generation—0
L_0-Sampler: An L_0 Model Guided Volume Sampling for NeRF—0
L0-Sampler: An L0 Model Guided Volume Sampling for NeRF—0
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry—0
LAM3D: Large Image-Point-Cloud Alignment Model for 3D Reconstruction from Single Image—0
Weakly-Supervised 3D Reconstruction of Clothed Humans via Normal Maps—0
Laparoscopic Scene Analysis for Intraoperative Visualisation of Gamma Probe Signals in Minimally Invasive Cancer Surgery—0
Laplace-Beltrami Operator for Gaussian Splatting—0
3D Vision-Language Gaussian Splatting—0
Time of the Flight of the Gaussians: Optimizing Depth Indirectly in Dynamic Radiance Fields—0
Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function—0
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55—0
Large-Scale, Metric Structure From Motion for Unordered Light Fields—0
Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling—0
Large-scale visual SLAM for in-the-wild videos—0
3D Video Stabilization With Depth Estimation by CNN-Based Optimization—0
LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies—0
Latent Radiance Fields with 3D-aware 2D Representations—0
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction—0
LBurst: Learning-Based Robotic Burst Feature Extraction for 3D Reconstruction in Low Light—0
Learnable Triangulation for Deep Learning-based 3D Reconstruction of Objects of Arbitrary Topology from Single RGB Images—0
Learned Semantic Multi-Sensor Depth Map Fusion—0
Learning 3D Robotics Perception using Inductive Priors—0
Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification—0
Learning a Manifold as an Atlas—0
TMO: Textured Mesh Acquisition of Objects with a Mobile Device by using Differentiable Rendering—0
Learning Articulated Shape with Keypoint Pseudo-labels from Web Images—0
Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey—0
Learning-Based Depth and Pose Estimation for Monocular Endoscope with Loss Generalization—0
Learning-based Monocular 3D Reconstruction of Birds: A Contemporary Survey—0
Learning-based Multi-View Stereo: A Survey—0
Learning-by-Synthesis for Appearance-based 3D Gaze Estimation—0
Learning Camera Movement Control from Real-World Drone Videos—0
Learning Complex 3D Human Self-Contact—0
Learning Compositional Shape Priors for Few-Shot 3D Reconstruction—0
Learning Continuous 3D Reconstructions for Geometrically Aware Grasping—0
Show:102550
← PrevPage 26 of 47Next →
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