no code implementations • 18 Mar 2024 • Zhizhen Zhou, Yejing Huo, Guoheng Huang, An Zeng, Xuhang Chen, Lian Huang, Zinuo Li
The study of music-generated dance is a novel and challenging Image generation task.
no code implementations • 7 Nov 2023 • Weiwen Chen, Qiuhong Ke, Zinuo Li
Image enhancement is a significant research area in the fields of computer vision and image processing.
2 code implementations • ICCV 2023 • Zinuo Li, Xuhang Chen, Chi-Man Pun, Xiaodong Cun
We handle high-resolution document shadow removal directly via a larger-scale real-world dataset and a carefully designed frequency-aware network.
1 code implementation • 26 Aug 2023 • Shenghong Luo, Xuhang Chen, Weiwen Chen, Zinuo Li, Shuqiang Wang, Chi-Man Pun
Vignetting commonly occurs as a degradation in images resulting from factors such as lens design, improper lens hood usage, and limitations in camera sensors.
no code implementations • 28 Jul 2023 • Shenghong Luo, Ruifeng Xu, Xuhang Chen, Zinuo Li, Chi-Man Pun, Shuqiang Wang
In this study, we propose the DocDeshadower, a multi-frequency Transformer-based model built on Laplacian Pyramid.
1 code implementation • 21 Jan 2023 • Zinuo Li, Xuhang Chen, Shuqiang Wang, Chi-Man Pun
In order to facilitate film-based image stylization research, we construct FilmSet, a large-scale and high-quality film style dataset.
no code implementations • 16 Dec 2022 • Zinuo Li, Xuhang Chen, Chi-Man Pun, Shuqiang Wang
Image enhancement is a technique that frequently utilized in digital image processing.
no code implementations • 25 Mar 2022 • Zhenya Zang, Dong Xiao, Quan Wang, Zinuo Li, Wujun Xie, Yu Chen, David Day Uei Li
As there is no back-propagation process for ELM during the training phase, the training speed is much higher than existing neural network approaches.