no code implementations • 2 Feb 2024 • Jiayu Yang, Wei Jiang, Yongqi Zhai, Chunhui Yang, Ronggang Wang
This paper presents a learned video compression method in response to video compression track of the 6th Challenge on Learned Image Compression (CLIC), at DCC 2024. Specifically, we propose a unified contextual video compression framework (UCVC) for joint P-frame and B-frame coding.
no code implementations • 16 Jan 2024 • Wei Jiang, Yongqi Zhai, Hangyu Li, Ronggang Wang
This short paper describes our method for the track of image compression.
1 code implementation • 28 Jul 2023 • Wei Jiang, Jiayu Yang, Yongqi Zhai, Feng Gao, Ronggang Wang
Additionally, to capture global contexts, we propose the linear complexity attention-based global correlations capturing by leveraging the decomposition of the softmax operation.
Ranked #1 on Image Compression on kodak
no code implementations • 19 Apr 2023 • Wei Jiang, Peirong Ning, Jiayu Yang, Yongqi Zhai, Feng Gao, Ronggang Wang
To tackle this issue, we propose Large Receptive Field Transform Coding with Adaptive Weights for Learned Image Compression (LLIC).
1 code implementation • 14 Nov 2022 • Wei Jiang, Jiayu Yang, Yongqi Zhai, Peirong Ning, Feng Gao, Ronggang Wang
Based on MEM and MEM$^+$, we propose image compression models MLIC and MLIC$^+$.
Ranked #1 on Image Compression on kodak
no code implementations • 4 Jan 2022 • Yi Ma, Yongqi Zhai, Ronggang Wang
In this paper, we propose the first learned fine-grained scalable image compression model (DeepFGS) to overcome the above two shortcomings.