122 citations · 419 across the 23 of their papers we have counts for
4 papers · 1 filter
Entroformer: A Transformer-based Entropy Model for Learned Image Compression
Yichen Qian, Ming Lin, Xiuyu Sun +2
One critical component in lossy deep image compression is the entropy model, which predicts the probability distribution of the quantized latent representation in the encoding and…
Interpolation variable rate image compression
Zhenhong Sun, Zhiyu Tan, Xiuyu Sun +4
Compression standards have been used to reduce the cost of image storage and transmission for decades. In recent years, learned image compression methods have been proposed and ach…
Spatiotemporal Entropy Model is All You Need for Learned Video Compression
Zhenhong Sun, Zhiyu Tan, Xiuyu Sun +4
The framework of dominant learned video compression methods is usually composed of motion prediction modules as well as motion vector and residual image compression modules, suffer…
Learning Accurate Entropy Model with Global Reference for Image Compression
Yichen Qian, Zhiyu Tan, Xiuyu Sun +5
In recent deep image compression neural networks, the entropy model plays a critical role in estimating the prior distribution of deep image encodings. Existing methods combine hyp…