1 code implementation • CVPR 2023 • Zhenqi Fu, Yan Yang, Xiaotong Tu, Yue Huang, Xinghao Ding, Kai-Kuang Ma
Those solutions, however, often fail in revealing image details due to the limited information in a single image and the poor adaptability of handcrafted priors.
Ranked #2 on Low-Light Image Enhancement on VV
1 code implementation • 20 Jul 2022 • Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma
After that, we adopt a consensus process to predict a deterministic result based on a set of samples from the distribution.
1 code implementation • 23 May 2021 • Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuze Zhang, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma
Then, we design a two-level perturbation fusion strategy to alleviate the conflict between the adversarial watermarks generated by different facial images and models.
1 code implementation • 23 Mar 2021 • Hao Huang, Yongtao Wang, Zhaoyu Chen, Zhi Tang, Wenqiang Zhang, Kai-Kuang Ma
Firstly, we propose a patch selection and refining scheme to find the pixels which have the greatest importance for attack and remove the inconsequential perturbations gradually.
1 code implementation • 15 Sep 2020 • Jianwei Li, Yongtao Wang, Haihua Xie, Kai-Kuang Ma
Our proposed network is a single model approach that can be trained for handling a wide range of quality factors while consistently delivering superior or comparable image artifacts removal performance.
no code implementations • 22 Aug 2020 • Feida Zhu, Chaowei Fang, Kai-Kuang Ma
Additionally, the pyramid non-local block can be directly incorporated into convolution neural networks for other image restoration tasks.