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

Showing 18011850 of 2326 papers

TitleStatusHype
Heightmap Reconstruction of Macula on Color Fundus Images Using Conditional Generative Adversarial NetworksCode0
DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDARCode0
Contact Area Detector using Cross View Projection Consistency for COVID-19 Projects0
Generative Adversarial Networks for Robust Cryo-EM Image DenoisingCode0
Attention-based 3D Object Reconstruction from a Single Image0
RocNet: Recursive Octree Network for Efficient 3D Deep Representation0
Integration of the 3D Environment for UAV Onboard Visual Object Tracking0
Eyeglasses 3D shape reconstruction from a single face image0
Image-to-Voxel Model Translation for 3D Scene Reconstruction and Segmentation0
GSIR: Generalizable 3D Shape Interpretation and Reconstruction0
PL₁P - Point-line Minimal Problems under Partial Visibility in Three Views0
FreeCam3D: Snapshot Structured Light 3D with Freely-Moving Cameras0
Multi-Agent Embodied Question Answering in Interactive Environments0
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry0
Mobile3DRecon: Real-time Monocular 3D Reconstruction on a Mobile Phone0
Polarimetric Multi-View Inverse Rendering0
Co-Attention for Conditioned Image Matching0
PerMO: Perceiving More at Once from a Single Image for Autonomous Driving0
PVSNet: Pixelwise Visibility-Aware Multi-View Stereo Network0
Inferring the 3D Standing Spine Posture from 2D Radiographs0
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation0
Single-Frame based Deep View Synchronization for Unsynchronized Multi-Camera SurveillanceCode0
Multi view stereo with semantic priors0
Task-agnostic Temporally Consistent Facial Video Editing0
Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D Computed Tomography0
Method for the generation of depth images for view-based shape retrieval of 3D CAD model from partial point cloud0
Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion0
On the generalization of learning-based 3D reconstruction0
Set Distribution Networks: a Generative Model for Sets of Images0
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks0
Geodesic-HOF: 3D Reconstruction Without Cutting Corners0
3D Reconstruction of Clothes using a Human Body Model and its Application to Image-based Virtual Try-On0
FroDO: From Detections to 3D Objects0
Joint Texture and Geometry Optimization for RGB-D Reconstruction0
Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition0
Three-Dimensional Reconstruction of Human Interactions0
An Efficient Planar Bundle Adjustment Algorithm0
D2D: Keypoint Extraction with Describe to Detect Approach0
Deep Learning Guided Building Reconstruction from Satellite Imagery-derived Point Clouds0
FroDO: From Detections to 3D Objects0
A Simple and Scalable Shape Representation for 3D Reconstruction0
Multi-view data capture using edge-synchronised mobiles0
Stomach 3D Reconstruction Based on Virtual Chromoendoscopic Image Generation0
Reconstruct, Rasterize and Backprop: Dense shape and pose estimation from a single image0
The Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds: A Distributed 3D Mapping Use-caseCode0
Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences0
Calculating Pose with Vanishing Points of Visual-Sphere Perspective Model0
ARCH: Animatable Reconstruction of Clothed HumansCode0
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method0
End-To-End Convolutional Neural Network for 3D Reconstruction of Knee Bones From Bi-Planar X-Ray Images0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
13D-R2N2Overall0.63Unverified
2GipumaOverall0.58Unverified
3COLMAPOverall0.53Unverified
4MVSNetOverall0.46Unverified
5Vis-MVSNetOverall0.37Unverified
6AA-RMVSNetOverall0.36Unverified
7Cas-MVSNetOverall0.36Unverified
8EPP-MVSNetOverall0.36Unverified
9PatchmatchNetOverall0.35Unverified
10CVP-MVSNetOverall0.35Unverified
#ModelMetricClaimedVerifiedStatus
1MD-GONIoU92.8Unverified
2POCOIoU92.6Unverified
3FS-SDFIoU91.2Unverified
4DP-ConvONetIoU89.5Unverified
5ConvONetIoU88.4Unverified
6ONetIoU76.1Unverified
7EVolTIoU73.8Unverified
8ZubicLioIoU65.43Unverified
#ModelMetricClaimedVerifiedStatus
1AttSets3DIoU0.64Unverified
2PSGN3DIoU0.64Unverified
3OGN3DIoU0.6Unverified
43D-R2N23DIoU0.56Unverified
#ModelMetricClaimedVerifiedStatus
1Scan2CADAverage Accuracy31.68Unverified
23DMatchAverage Accuracy10.29Unverified
#ModelMetricClaimedVerifiedStatus
1SVCPChamfer10Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy18.2Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy5.7Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)3DIoU89.4Unverified