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 2101–2150 of 2326 papers

TitleStatusHype
Generative Adversarial Networks for Robust Cryo-EM Image DenoisingCode0
Single Image 3D Hand Reconstruction with Mesh ConvolutionsCode0
M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D ReconstructionCode0
From handcrafted to deep local featuresCode0
Intel RealSense Stereoscopic Depth CamerasCode0
On Learning 3D Face Morphable Model from In-the-wild ImagesCode0
Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object ReconstructionCode0
BVI-CR: A Multi-View Human Dataset for Volumetric Video CompressionCode0
Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric ModelCode0
LeanGaussian: Breaking Pixel or Point Cloud Correspondence in Modeling 3D GaussiansCode0
Single-Image Piece-wise Planar 3D Reconstruction via Associative EmbeddingCode0
Point Tracking in Surgery--The 2024 Surgical Tattoos in Infrared (STIR) ChallengeCode0
Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying LightingCode0
Template-Guided Reconstruction of Pulmonary Segments with Neural Implicit FunctionsCode0
TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph NetworkCode0
Unsupervised Single-shot Depth Estimation using Perceptual ReconstructionCode0
G2D: from GTA to DataCode0
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single ImageCode0
Marker-Based Extrinsic Calibration Method for Accurate Multi-Camera 3D ReconstructionCode0
IPVNet: Learning Implicit Point-Voxel Features for Open-Surface 3D ReconstructionCode0
GAMesh: Guided and Augmented Meshing for Deep Point NetworksCode0
Self-supervised monocular depth estimation from oblique UAV videosCode0
MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content CreationCode0
MARVIS: Motion & Geometry Aware Real and Virtual Image SegmentationCode0
GARNet: Global-Aware Multi-View 3D Reconstruction Network and the Cost-Performance TradeoffCode0
Massively Parallel Multiview Stereopsis by Surface Normal DiffusionCode0
DISN: Deep Implicit Surface Network for High-quality Single-view 3D ReconstructionCode0
Cumulative Assessment for Urban 3D ModelingCode0
Matchable Image Retrieval by Learning from Surface ReconstructionCode0
Temporally Consistent Horizon LinesCode0
On the Issues of TrueDepth Sensor Data for Computer Vision Tasks Across Different iPad GenerationsCode0
IVUS-Net: An Intravascular Ultrasound Segmentation NetworkCode0
NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic RadiographsCode0
On the Localization of Ultrasound Image Slices within Point Distribution ModelsCode0
SpikeGS: Learning 3D Gaussian Fields from Continuous Spike StreamCode0
Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field ImagesCode0
The State of Computer Vision Research in AfricaCode0
Robust single-shot 3D fluorescence imaging in scattering media with a simulator-trained neural networkCode0
OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy RepresentationCode0
Do-It-Yourself Single Camera 3D Pointer Input DeviceCode0
A Point Set Generation Network for 3D Object Reconstruction from a Single ImageCode0
Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency ConstraintCode0
Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature DisentanglementCode0
Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per PersonCode0
Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose ReconstructionCode0
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing UnderstandingCode0
A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific FittingCode0
DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDARCode0
3D2M Dataset: A 3-Dimension diverse Mesh DatasetCode0
ChESS - Quick and Robust Detection of Chess-board FeaturesCode0
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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