1 code implementation • 21 Aug 2024 • Yulin Ren, Xin Li, Mengxi Guo, Bingchen Li, Shijie Zhao, Zhibo Chen
We present MambaCSR, a simple but effective framework based on Mamba for the challenging compressed image super-resolution (CSR) task.
no code implementations • 15 Jul 2024 • Yulin Ren, Xin Li, Bingchen Li, Xingrui Wang, Mengxi Guo, Shijie Zhao, Li Zhang, Zhibo Chen
We present MoE-DiffIR, an innovative universal compressed image restoration (CIR) method with task-customized diffusion priors.
1 code implementation • 26 Apr 2024 • Bingchen Li, Xin Li, Yiting Lu, Ruoyu Feng, Mengxi Guo, Shijie Zhao, Li Zhang, Zhibo Chen
Existing works on blind CIR often seek assistance from a quality factor prediction network to facilitate their network to restore compressed images.
no code implementations • 9 Jan 2024 • Jinhai Yang, Mengxi Guo, Shijie Zhao, Junlin Li, Li Zhang
In this paper, we propose to directly predict the optimal transcoding resolution at each preset bitrate for efficient bitrate ladder construction.
no code implementations • 7 Jun 2023 • Mengxi Guo, Shijie Zhao, Hao Jiang, Junlin Li, Li Zhang
Most video platforms provide video streaming services with different qualities, and the quality of the services is usually adjusted by the resolution of the videos.
1 code implementation • 4 Mar 2023 • Jinhai Yang, Mengxi Guo, Shijie Zhao, Junlin Li, Li Zhang
In this paper, we propose the Self-Asymmetric Invertible Network (SAIN) for compression-aware image rescaling.
Ranked #2 on Image Rescaling on DIV2K val-q90-4x
1 code implementation • 24 Dec 2022 • Rui Ma, Mengxi Guo, Yi Hou, Fan Yang, Yuan Li, Huizhu Jia, Xiaodong Xie
The CIN is composed of the invertible part to achieve high imperceptibility and the non-invertible part to strengthen the robustness against strong noise attacks.
no code implementations • 8 Oct 2021 • Mengxi Guo, Dangqing Huang, Xiaodong Xie
This paper implemented the Transformer model and conditional variational autoencoder (CVAE) to the graphic design layout generation task.
1 code implementation • 21 Apr 2021 • Ren Yang, Radu Timofte, Jing Liu, Yi Xu, Xinjian Zhang, Minyi Zhao, Shuigeng Zhou, Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy, Xin Li, Fanglong Liu, He Zheng, Lielin Jiang, Qi Zhang, Dongliang He, Fu Li, Qingqing Dang, Yibin Huang, Matteo Maggioni, Zhongqian Fu, Shuai Xiao, Cheng Li, Thomas Tanay, Fenglong Song, Wentao Chao, Qiang Guo, Yan Liu, Jiang Li, Xiaochao Qu, Dewang Hou, Jiayu Yang, Lyn Jiang, Di You, Zhenyu Zhang, Chong Mou, Iaroslav Koshelev, Pavel Ostyakov, Andrey Somov, Jia Hao, Xueyi Zou, Shijie Zhao, Xiaopeng Sun, Yiting Liao, Yuanzhi Zhang, Qing Wang, Gen Zhan, Mengxi Guo, Junlin Li, Ming Lu, Zhan Ma, Pablo Navarrete Michelini, Hai Wang, Yiyun Chen, Jingyu Guo, Liliang Zhang, Wenming Yang, Sijung Kim, Syehoon Oh, Yucong Wang, Minjie Cai, Wei Hao, Kangdi Shi, Liangyan Li, Jun Chen, Wei Gao, Wang Liu, XiaoYu Zhang, Linjie Zhou, Sixin Lin, Ru Wang
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results.