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Surface Reconstruction

Papers

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Showing 351–400 of 624 papers

TitleStatusHype
Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture—0
Dense Reconstruction of Transparent Objects by Altering Incident Light Paths Through Refraction—0
Density—0
Density-based Denoising of Point Cloud—0
Depth Image Enhancement Using Local Tangent Plane Approximations—0
Depth Supervised Neural Surface Reconstruction from Airborne Imagery—0
Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface Reconstruction—0
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction—0
Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image—0
Differentiable Neural Surface Refinement for Modeling Transparent Objects—0
DIO: Dataset of 3D Mesh Models of Indoor Objects for Robotics and Computer Vision Applications—0
Discontinuity-preserving Normal Integration with Auxiliary Edges—0
DiViNeT: 3D Reconstruction from Disparate Views via Neural Template Regularization—0
Drone-based Volume Estimation in Indoor Environments—0
Dynamic Fluid Surface Reconstruction Using Deep Neural Network—0
Dynamic Multi-View Scene Reconstruction Using Neural Implicit Surface—0
Dynamic Point Cloud Denoising via Gradient Fields—0
DynamicSurf: Dynamic Neural RGB-D Surface Reconstruction with an Optimizable Feature Grid—0
Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction—0
EC-Net: an Edge-aware Point set Consolidation Network—0
Edge Preserving Implicit Surface Representation of Point Clouds—0
Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo—0
Elevation Estimation-Driven Building 3D Reconstruction from Single-View Remote Sensing Imagery—0
EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding—0
Enhancing Neural Rendering Methods with Image Augmentations—0
Error Propagation in Satellite Multi-image Geometry—0
EvaSurf: Efficient View-Aware Implicit Textured Surface Reconstruction—0
Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization—0
Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields—0
Exploiting Semantic Scene Reconstruction for Estimating Building Envelope Characteristics—0
Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects—0
FastMESH: Fast Surface Reconstruction by Hexagonal Mesh-based Neural Rendering—0
Filling missing data in point clouds by merging structured and unstructured point clouds—0
Fine-detailed Neural Indoor Scene Reconstruction using multi-level importance sampling and multi-view consistency—0
Free360: Layered Gaussian Splatting for Unbounded 360-Degree View Synthesis from Extremely Sparse and Unposed Views—0
From Flat to Spatial: Comparison of 4 methods constructing 3D, 2 and 1/2D Models from 2D Plans with neural networks—0
From Low Field to High Value: Robust Cortical Mapping from Low-Field MRI—0
From Point Clouds to Mesh Using Regression—0
From Shading to Local Shape—0
FusionRF: High-Fidelity Satellite Neural Radiance Fields from Multispectral and Panchromatic Acquisitions—0
G2SDF: Surface Reconstruction from Explicit Gaussians with Implicit SDFs—0
Gaussian Billboards: Expressive 2D Gaussian Splatting with Textures—0
GaussianRoom: Improving 3D Gaussian Splatting with SDF Guidance and Monocular Cues for Indoor Scene Reconstruction—0
GausSurf: Geometry-Guided 3D Gaussian Splatting for Surface Reconstruction—0
GauSTAR: Gaussian Surface Tracking and Reconstruction—0
GCRayDiffusion: Pose-Free Surface Reconstruction via Geometric Consistent Ray Diffusion—0
GelBelt: A Vision-based Tactile Sensor for Continuous Sensing of Large Surfaces—0
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis—0
Generation of patient specific cardiac chamber models using generative neural networks under a Bayesian framework for electroanatomical mapping—0
Geometric Attention for Prediction of Differential Properties in 3D Point Clouds—0
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