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 751–800 of 2326 papers

TitleStatusHype
GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single ImageCode4
OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy RepresentationCode0
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video DiffusionCode3
GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors—0
LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D GenerationCode3
Fed3DGS: Scalable 3D Gaussian Splatting with Federated LearningCode2
BAGS: Building Animatable Gaussian Splatting from a Monocular Video with Diffusion Priors—0
Recent Advances in 3D Gaussian Splatting—0
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance FieldsCode0
Ctrl123: Consistent Novel View Synthesis via Closed-Loop Transcription—0
MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy ProjectionsCode2
NeuralOCT: Airway OCT Analysis via Neural Fields—0
GeoGS3D: Single-view 3D Reconstruction via Geometric-aware Diffusion Model and Gaussian Splatting—0
ViiNeuS: Volumetric Initialization for Implicit Neural Surface reconstruction of urban scenes with limited image overlap—0
Den-SOFT: Dense Space-Oriented Light Field DataseT for 6-DOF Immersive Experience—0
MARVIS: Motion & Geometry Aware Real and Virtual Image SegmentationCode0
Relaxing Accurate Initialization Constraint for 3D Gaussian SplattingCode3
Refractive COLMAP: Refractive Structure-from-Motion Revisited—0
3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surface—0
Q-SLAM: Quadric Representations for Monocular SLAM—0
Bayesian Diffusion Models for 3D Shape ReconstructionCode1
DITTO: Dual and Integrated Latent Topologies for Implicit 3D ReconstructionCode1
Finding Waldo: Towards Efficient Exploration of NeRF Scene Spaces—0
CN-RMA: Combined Network with Ray Marching Aggregation for 3D Indoors Object Detection from Multi-view ImagesCode1
Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like SpeedCode4
Pooling Image Datasets With Multiple Covariate Shift and Imbalance—0
TripoSR: Fast 3D Object Reconstruction from a Single ImageCode9
G3DR: Generative 3D Reconstruction in ImageNetCode1
DISORF: A Distributed Online 3D Reconstruction Framework for Mobile RobotsCode1
WHU-Synthetic: A Synthetic Perception Dataset for 3-D Multitask Model ResearchCode1
CharNeRF: 3D Character Generation from Concept Art—0
Sora Generates Videos with Stunning Geometrical Consistency—0
CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention—0
GenNBV: Generalizable Next-Best-View Policy for Active 3D ReconstructionCode2
A Generative Machine Learning Model for Material Microstructure 3D Reconstruction and Performance Evaluation—0
Cameras as Rays: Pose Estimation via Ray DiffusionCode4
MVD^2: Efficient Multiview 3D Reconstruction for Multiview Diffusion—0
MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction—0
A Robust Error-Resistant View Selection Method for 3D Reconstruction—0
DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model—0
Dense Matchers for Dense Tracking—0
GIM: Learning Generalizable Image Matcher From Internet VideosCode4
Evaluating Neural Radiance Fields (NeRFs) for 3D Plant Geometry Reconstruction in Field Conditions—0
GES: Generalized Exponential Splatting for Efficient Radiance Field RenderingCode3
PC-NeRF: Parent-Child Neural Radiance Fields Using Sparse LiDAR Frames in Autonomous Driving EnvironmentsCode2
DUDF: Differentiable Unsigned Distance Fields with Hyperbolic ScalingCode1
Camera Calibration through Geometric Constraints from Rotation and Projection MatricesCode1
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation—0
Neural Rendering based Urban Scene Reconstruction for Autonomous Driving—0
MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction—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