325 citations · 666 across the 6 of their papers we have counts for
4 papers · 1 filter
Transformer-based Image Compression
Ming Lu, Peiyao Guo, Huiqing Shi +2
A Transformer-based Image Compression (TIC) approach is developed which reuses the canonical variational autoencoder (VAE) architecture with paired main and hyper encoder-decoders.…
Neural Image Compression via Non-Local Attention Optimization and Improved Context Modeling
Tong Chen, Haojie Liu, Zhan Ma +3
This paper proposes a novel Non-Local Attention optmization and Improved Context modeling-based image compression (NLAIC) algorithm, which is built on top of the deep nerual networ…
Non-local Attention Optimized Deep Image Compression
Haojie Liu, Tong Chen, Peiyao Guo +4
This paper proposes a novel Non-Local Attention Optimized Deep Image Compression (NLAIC) framework, which is built on top of the popular variational auto-encoder (VAE) structure. O…
Gated Context Model with Embedded Priors for Deep Image Compression
Haojie Liu, Tong Chen, Peiyao Guo +2
A deep image compression scheme is proposed in this paper, offering the state-of-the-art compression efficiency, against the traditional JPEG, JPEG2000, BPG and those popular learn…