no code implementations • 3 Feb 2024 • Bolin Chen, Shanzhi Yin, Peilin Chen, Shiqi Wang, Yan Ye
Artificial Intelligence Generated Content (AIGC) is leading a new technical revolution for the acquisition of digital content and impelling the progress of visual compression towards competitive performance gains and diverse functionalities over traditional codecs.
no code implementations • 6 Sep 2023 • Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu
With neural networks growing deeper and feature maps growing larger, limited communication bandwidth with external memory (or DRAM) and power constraints become a bottleneck in implementing network inference on mobile and edge devices.
no code implementations • 9 Feb 2022 • Shanzhi Yin, Chao Li, Wen Tan, Youneng Bao, Yongsheng Liang, Wei Liu
Neural image compression have reached or out-performed traditional methods (such as JPEG, BPG, WebP).
no code implementations • 18 Nov 2021 • Shanzhi Yin, Chao Li, Youneng Bao, Yongsheng Liang
Recently, Learning-based image compression has reached comparable performance with traditional image codecs(such as JPEG, BPG, WebP).