no code implementations • 16 May 2024 • Jie Liang, Radu Timofte, Qiaosi Yi, Shuaizheng Liu, Lingchen Sun, Rongyuan Wu, Xindong Zhang, Hui Zeng, Lei Zhang
In this paper, we review the NTIRE 2024 challenge on Restore Any Image Model (RAIM) in the Wild.
1 code implementation • 30 Dec 2023 • Lingchen Sun, Rongyuan Wu, Zhengqiang Zhang, Hongwei Yong, Lei Zhang
To improve the stability of diffusion prior-based SR, we propose to employ the diffusion models to refine image structures, while employing the generative adversarial training to enhance image fine details.
1 code implementation • 24 Dec 2023 • Lingchen Sun, Jie Liang, Shuaizheng Liu, Hongwei Yong, Lei Zhang
High perceptual quality and low distortion degree are two important goals in image restoration tasks such as super-resolution (SR).
1 code implementation • 27 Nov 2023 • Rongyuan Wu, Tao Yang, Lingchen Sun, Zhengqiang Zhang, Shuai Li, Lei Zhang
Owe to the powerful generative priors, the pre-trained text-to-image (T2I) diffusion models have become increasingly popular in solving the real-world image super-resolution problem.
1 code implementation • CVPR 2023 • Shuaizheng Liu, Xindong Zhang, Lingchen Sun, Zhetong Liang, Hui Zeng, Lei Zhang
In this work, we develop, for the first time to our best knowledge, an HDR image dataset by using mobile phone cameras, namely Mobile-HDR dataset.