8 citations · 12 across the 3 of their papers we have counts for
4 papers
Unsupervised Shape Completion via Deep Prior in the Neural Tangent Kernel Perspective
Lei Chu, Hao Pan, Wenping Wang
We present a novel approach for completing and reconstructing 3D shapes from incomplete scanned data by using deep neural networks. Rather than being trained on supervised completi…
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
Shi-Lin Liu, Hao-Xiang Guo, Hao Pan +3
Point set is a flexible and lightweight representation widely used for 3D deep learning. However, their discrete nature prevents them from representing continuous and fine geometry…
Sketch2CAD: Sequential CAD Modeling by Sketching in Context
Changjian Li, Hao Pan, Adrien Bousseau +1
We present a sketch-based CAD modeling system, where users create objects incrementally by sketching the desired shape edits, which our system automatically translates to CAD opera…
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames
Yuqi Yang, Shilin Liu, Hao Pan +2
Surface meshes are widely used shape representations and capture finer geometry data than point clouds or volumetric grids, but are challenging to apply CNNs directly due to their…