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 551–600 of 2326 papers

TitleStatusHype
A Review of 3D Reconstruction Techniques for Deformable Tissues in Robotic SurgeryCode1
Opening the Black Box of 3D Reconstruction Error Analysis with VECTORCode1
LumiGauss: Relightable Gaussian Splatting in the WildCode2
Efficient NeRF Optimization -- Not All Samples Remain Equally Hard—0
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical ApplicationsCode1
PanicleNeRF: low-cost, high-precision in-field phenotypingof rice panicles with smartphone—0
Enhanced Knee Kinematics: Leveraging Deep Learning and Morphing Algorithms for 3D Implant Modeling—0
Embodiment: Self-Supervised Depth Estimation Based on Camera Models—0
Structure from Motion-based Motion Estimation and 3D Reconstruction of Unknown Shaped Space Debris—0
IG-SLAM: Instant Gaussian SLAM—0
UlRe-NeRF: 3D Ultrasound Imaging through Neural Rendering with Ultrasound Reflection Direction Parameterization—0
X-ray nano-holotomography reconstruction with simultaneous probe retrieval—0
SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-grade Videos—0
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle—0
A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific FittingCode0
IOVS4NeRF:Incremental Optimal View Selection for Large-Scale NeRFs—0
Floating No More: Object-Ground Reconstruction from a Single Image—0
UMono: Physical Model Informed Hybrid CNN-Transformer Framework for Underwater Monocular Depth Estimation—0
Enhancement of 3D Gaussian Splatting using Raw Mesh for Photorealistic Recreation of Architectures—0
3D Reconstruction of the Human Colon from Capsule Endoscope Video—0
VoxDepth: Rectification of Depth Images on Edge Devices—0
Reconstruction of the shape of irregular rough particles from their interferometric images using a convolutional neural network—0
I Know About "Up"! Enhancing Spatial Reasoning in Visual Language Models Through 3D Reconstruction—0
SparseCraft: Few-Shot Neural Reconstruction through Stereopsis Guided Geometric LinearizationCode1
DirectL: Efficient Radiance Fields Rendering for 3D Light Field Displays—0
MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby ReferencesCode1
Edge Projection-Based Adaptive View Selection for Cone-Beam CT—0
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model—0
MRIo3DS-Net: A Mutually Reinforcing Images to 3D Surface RNN-like framework for model-adaptation indoor 3D reconstruction—0
MVG-Splatting: Multi-View Guided Gaussian Splatting with Adaptive Quantile-Based Geometric Consistency Densification—0
Success Probability in Multi-View Imaging—0
Evaluating geometric accuracy of NeRF reconstructions compared to SLAM method—0
iHuman: Instant Animatable Digital Humans From Monocular VideosCode2
Single-cell 3D genome reconstruction in the haploid setting using rigidity theory—0
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse ProblemsCode2
SpikeGS: 3D Gaussian Splatting from Spike Streams with High-Speed Camera Motion—0
RecGS: Removing Water Caustic with Recurrent Gaussian Splatting—0
MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results—0
Survey on Fundamental Deep Learning 3D Reconstruction Techniques—0
Computer vision tasks for intelligent aerospace missions: An overview—0
Chat-Edit-3D: Interactive 3D Scene Editing via Text PromptsCode3
LuSNAR:A Lunar Segmentation, Navigation and Reconstruction Dataset based on Muti-sensor for Autonomous ExplorationCode2
Incremental Multiview Point Cloud RegistrationCode0
GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction—0
LaRa: Efficient Large-Baseline Radiance FieldsCode3
Rethinking Data Input for Point Cloud Upsampling—0
A Radiometric Correction based Optical Modeling Approach to Removing Reflection Noise in TLS Point Clouds of Urban ScenesCode0
Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene ReconstructionCode2
Indoor 3D Reconstruction with an Unknown Camera-Projector Pair—0
PO-MSCKF: An Efficient Visual-Inertial Odometry by Reconstructing the Multi-State Constrained Kalman Filter with the Pose-only Theory—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