no code implementations • 28 Mar 2023 • Qiuliang Ye, Bingo Wing-Kuen Ling, Li-Wen Wang, Daniel Pak-Kong Lun
This paper proposes a two-stage optimization algorithm to generate multi-level random masks named $\textit{OptMask}$ that can also significantly reduce high-frequency components in the measurements but achieve higher accuracy than the binary masking scheme.
no code implementations • 18 Aug 2022 • Qiuliang Ye, Li-Wen Wang, Daniel Pak-Kong Lun
The results demonstrate the superiority and practicality of the proposed PPRNet over the traditional learning-based PR methods.
1 code implementation • 17 Aug 2020 • Chu-Tak Li, Wan-Chi Siu, Zhi-Song Liu, Li-Wen Wang, Daniel Pak-Kong Lun
Existing image inpainting approaches usually encounter difficulties in completing the missing parts in the wild with pleasing visual and contextual results as they are trained for either dealing with one specific type of missing patterns (mask) or unilaterally assuming the shapes and/or sizes of the masked areas.