1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Sharpening Neural Implicit Functions with Frequency Consolidation Priors
Chao Chen, Yu-Shen Liu, Zhizhong Han
Signed Distance Functions (SDFs) are vital implicit representations to represent high fidelity 3D surfaces. Current methods mainly leverage a neural network to learn an SDF from va…
cs.CV2024
Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes
Chao Chen, Yu-Shen Liu, Zhizhong Han
It is challenging to reconstruct 3D point clouds in unseen classes from single 2D images. Instead of object-centered coordinate system, current methods generalized global priors le…
cs.CV2021★ 1 cited
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching
Chen Chao, Zhizhong Han, Yu-Shen Liu +1
Learning to generate 3D point clouds without 3D supervision is an important but challenging problem. Current solutions leverage various differentiable renderers to project the gene…