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Surface Reconstruction

Papers

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Showing 401–425 of 624 papers

TitleStatusHype
Geometric Constrained Non-Line-of-Sight Imaging—0
Geometric Prior-Guided Neural Implicit Surface Reconstruction in the Wild—0
GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learning—0
GigaGS: Scaling up Planar-Based 3D Gaussians for Large Scene Surface Reconstruction—0
Global, Dense Multiscale Reconstruction for a Billion Points—0
Gradient-based Point Cloud Denoising with Uniformity—0
GradientSurf: Gradient-Domain Neural Surface Reconstruction from RGB Video—0
GSTAR: Gaussian Surface Tracking and Reconstruction—0
GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface Reconstruction—0
GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes—0
HDHumans: A Hybrid Approach for High-fidelity Digital Humans—0
Head Pose Estimation and 3D Neural Surface Reconstruction via Monocular Camera in situ for Navigation and Safe Insertion into Natural Openings—0
High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes—0
High-fidelity Endoscopic Image Synthesis by Utilizing Depth-guided Neural Surfaces—0
High-quality Surface Reconstruction using Gaussian Surfels—0
High Resolution Surface Reconstruction of Cultural Heritage Objects Using Shape from Polarization Method—0
HiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity—0
HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2—0
HotSpot: Screened Poisson Equation for Signed Distance Function Optimization—0
HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition—0
HRGS: Hierarchical Gaussian Splatting for Memory-Efficient High-Resolution 3D Reconstruction—0
HR-NeuS: Recovering High-Frequency Surface Geometry via Neural Implicit Surfaces—0
HDhuman: High-quality Human Novel-view Rendering from Sparse Views—0
Hybrid-CSR: Coupling Explicit and Implicit Shape Representation for Cortical Surface Reconstruction—0
HybridFusion: Real-Time Performance Capture Using a Single Depth Sensor and Sparse IMUs—0
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