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Surface Reconstruction

Papers

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Showing 251–300 of 624 papers

TitleStatusHype
Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction—0
Augmented Reality for Depth Cues in Monocular Minimally Invasive Surgery—0
GSTAR: Gaussian Surface Tracking and Reconstruction—0
In-Hand 3D Object Reconstruction from a Monocular RGB Video—0
Anti-Aliased Neural Implicit Surfaces with Encoding Level of Detail—0
GradientSurf: Gradient-Domain Neural Surface Reconstruction from RGB Video—0
3D Surface Reconstruction in the Wild by Deforming Shape Priors from Synthetic Data—0
Gradient-based Point Cloud Denoising with Uniformity—0
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction—0
Global, Dense Multiscale Reconstruction for a Billion Points—0
Deep Active Surface Models—0
3D Gaussian Splatting for Fine-Detailed Surface Reconstruction in Large-Scale Scene—0
GigaGS: Scaling up Planar-Based 3D Gaussians for Large Scene Surface Reconstruction—0
DebSDF: Delving into the Details and Bias of Neural Indoor Scene Reconstruction—0
GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learning—0
An octree cells occupancy geometric dimensionality descriptor for massive on-server point cloud visualisation and classification—0
3D Surface Reconstruction from Voxel-based Lidar Data—0
MOSE: Monocular Semantic Reconstruction Using NeRF-Lifted Noisy Priors—0
MRIo3DS-Net: A Mutually Reinforcing Images to 3D Surface RNN-like framework for model-adaptation indoor 3D reconstruction—0
Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparison—0
ANISE: Assembly-based Neural Implicit Surface rEconstruction—0
Geometric Prior-Guided Neural Implicit Surface Reconstruction in the Wild—0
Geometric Constrained Non-Line-of-Sight Imaging—0
Cut-and-Approximate: 3D Shape Reconstruction from Planar Cross-sections with Deep Reinforcement Learning—0
An Embeddable Implicit IUVD Representation for Part-based 3D Human Surface Reconstruction—0
Geometric Attention for Prediction of Differential Properties in 3D Point Clouds—0
Curvy: A Parametric Cross-section based Surface Reconstruction—0
Generation of patient specific cardiac chamber models using generative neural networks under a Bayesian framework for electroanatomical mapping—0
Curvature Regularized Surface Reconstruction from Point Cloud—0
Multi-view dense image matching with similarity learning and geometry priors—0
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis—0
GelBelt: A Vision-based Tactile Sensor for Continuous Sensing of Large Surfaces—0
CS-Net:Contribution-based Sampling Network for Point Cloud Simplification—0
GCRayDiffusion: Pose-Free Surface Reconstruction via Geometric Consistent Ray Diffusion—0
Critical Regularizations for Neural Surface Reconstruction in the Wild—0
An efficient iterative method for reconstructing surface from point clouds—0
GauSTAR: Gaussian Surface Tracking and Reconstruction—0
GausSurf: Geometry-Guided 3D Gaussian Splatting for Surface Reconstruction—0
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling—0
GaussianRoom: Improving 3D Gaussian Splatting with SDF Guidance and Monocular Cues for Indoor Scene Reconstruction—0
Country-wide high-resolution vegetation height mapping with Sentinel-2—0
3D Surface Reconstruction by Pointillism—0
3DFS: Deformable Dense Depth Fusion and Segmentation for Object Reconstruction from a Handheld Camera—0
MorpheuS: Neural Dynamic 360deg Surface Reconstruction from Monocular RGB-D Video—0
Gaussian Billboards: Expressive 2D Gaussian Splatting with Textures—0
CoSurfGS:Collaborative 3D Surface Gaussian Splatting with Distributed Learning for Large Scene Reconstruction—0
CoStruction: Conjoint radiance field optimization for urban scene reconStruction with limited image overlap—0
G2SDF: Surface Reconstruction from Explicit Gaussians with Implicit SDFs—0
FusionRF: High-Fidelity Satellite Neural Radiance Fields from Multispectral and Panchromatic Acquisitions—0
Mirror Surface Reconstruction Under an Uncalibrated Camera—0
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