1 code implementation • 16 Jan 2024 • Zida Chen, Ziran Zhang, Haoying Li, Menghao Li, Yueting Chen, Qi Li, Huajun Feng, Zhihai Xu, Shiqi Chen
Both the proposed JARNet and LAP image synthesis pipeline establish a foundation for addressing this intricate challenge.
no code implementations • 25 Jun 2023 • Haoying Li, Jixin Zhao, Shangchen Zhou, Huajun Feng, Chongyi Li, Chen Change Loy
Existing image deblurring methods predominantly focus on global deblurring, inadvertently affecting the sharpness of backgrounds in locally blurred images and wasting unnecessary computation on sharp pixels, especially for high-resolution images.
no code implementations • 18 Apr 2022 • Haoying Li, Ziran Zhang, Tingting Jiang, Peng Luo, Huajun Feng, Zhihai Xu
Most existing deblurring methods focus on removing global blur caused by camera shake, while they cannot well handle local blur caused by object movements.
1 code implementation • 30 Apr 2021 • Haoying Li, Yifan Yang, Meng Chang, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen
Single image super-resolution (SISR) aims to reconstruct high-resolution (HR) images from the given low-resolution (LR) ones, which is an ill-posed problem because one LR image corresponds to multiple HR images.