Yu-Shen Liu

14

Papers

260

Total Citations

Papers (14)

Uni3D: Exploring Unified 3D Representation at Scale

NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views

FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency

GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting

NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction

Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation

Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views

MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference

Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes

GridFormer: Point-Grid Transformer for Surface Reconstruction

UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion

Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling

MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction

Sharpening Neural Implicit Functions with Frequency Consolidation Priors