273 citations · 342 across the 3 of their papers we have counts for
3 papers
eess.IV2020★ 29 cited
Quality Prediction on Deep Generative Images
Hyunsuk Ko, Dae Yeol Lee, Seunghyun Cho +1
In recent years, deep neural networks have been utilized in a wide variety of applications including image generation. In particular, generative adversarial networks (GANs) are abl…
eess.IV2019★ 40 cited
An End-to-End Joint Learning Scheme of Image Compression and Quality Enhancement with Improved Entropy Minimization
Jooyoung Lee, Seunghyun Cho, Munchurl Kim
Recently, learned image compression methods have been actively studied. Among them, entropy-minimization based approaches have achieved superior results compared to conventional im…
eess.IV2018★ 273 cited
Context-adaptive Entropy Model for End-to-end Optimized Image Compression
Jooyoung Lee, Seunghyun Cho, Seung-Kwon Beack
We propose a context-adaptive entropy model for use in end-to-end optimized image compression. Our model exploits two types of contexts, bit-consuming contexts and bit-free context…