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 1101–1150 of 2326 papers

TitleStatusHype
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance FieldsCode1
Attention Weighted Local DescriptorsCode1
Anything-3D: Towards Single-view Anything Reconstruction in the WildCode3
Tetra-NeRF: Representing Neural Radiance Fields Using TetrahedraCode2
3 Dimensional Dense Reconstruction: A Review of Algorithms and Dataset—0
Single-View View Synthesis with Self-Rectified Pseudo-Stereo—0
SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes—0
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
Temporally Consistent Online Depth Estimation Using Point-Based FusionCode1
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and ReconstructionCode2
SiLK -- Simple Learned KeypointsCode2
EvAC3D: From Event-based Apparent Contours to 3D Models via Continuous Visual HullsCode0
Neural Lens Modeling—0
Evaluate Geometry of Radiance Fields with Low-frequency Color PriorCode1
Photometric Correction for Infrared Sensors—0
Analysis of Sampling Strategies for Implicit 3D Reconstruction—0
3D GANs and Latent Space: A comprehensive survey—0
Progressive Volume Distillation with Active Learning for Efficient NeRF Architecture ConversionCode1
NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic RadiographsCode0
ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable TransformationCode2
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields—0
Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes—0
Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction—0
Image Stabilization for Hololens Camera in Remote CollaborationCode0
Real-Time Dense 3D Mapping of Underwater EnvironmentsCode1
USTC FLICAR: A Sensors Fusion Dataset of LiDAR-Inertial-Camera for Heavy-duty Autonomous Aerial Work Robots—0
FineRecon: Depth-aware Feed-forward Network for Detailed 3D ReconstructionCode1
End-to-End Latency Optimization of Multi-view 3D Reconstruction for Disaster Response—0
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetryCode1
Real-Time Tilt Undersampling Optimization during Electron Tomography of Beam Sensitive Samples using Golden Ratio Scanning and RECAST3DCode1
LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera PosesCode1
Enhanced Stable View Synthesis—0
Multi-View Azimuth Stereo via Tangent Space ConsistencyCode1
2S-UDF: A Novel Two-stage UDF Learning Method for Robust Non-watertight Model Reconstruction from Multi-view ImagesCode0
TMO: Textured Mesh Acquisition of Objects with a Mobile Device by using Differentiable Rendering—0
Clean-NeRF: Reformulating NeRF to account for View-Dependent Observations—0
PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime CharactersCode2
LPFF: A Portrait Dataset for Face Generators Across Large Poses—0
Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent ContainerCode1
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown ObjectsCode3
WildLight: In-the-wild Inverse Rendering with a FlashlightCode1
Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh ReconstructionCode1
Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View SettingsCode1
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates—0
Robust single-shot 3D fluorescence imaging in scattering media with a simulator-trained neural networkCode0
Oral-3Dv2: 3D Oral Reconstruction from Panoramic X-Ray Imaging with Implicit Neural Representation—0
Real-time volumetric rendering of dynamic humansCode4
DIME-Net: Neural Network-Based Dynamic Intrinsic Parameter Rectification for Cameras with Optical Image Stabilization System—0
Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with ReflectionCode1
Zero-1-to-3: Zero-shot One Image to 3D ObjectCode4
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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