most citedNormalNet: Learning-based Normal Filtering for Mesh Denoising

9 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2020

ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising

Yongsen Zhao, Deming Zhai, Junjun Jiang +1

Hyperspectral image (HSI) denoising is of crucial importance for many subsequent applications, such as HSI classification and interpretation. In this paper, we propose an attention…

cs.GR2019★ 9 cited

NormalNet: Learning-based Normal Filtering for Mesh Denoising

Wenbo Zhao, Xianming Liu, Yongsen Zhao +2

Mesh denoising is a critical technology in geometry processing that aims to recover high-fidelity 3D mesh models of objects from their noise-corrupted versions. In this work, we pr…