QVRF: A Quantization-error-aware Variable Rate Framework for Learned
Image Compression

QVRF: A Quantization-error-aware Variable Rate Framework for Learned Image Compression

10 March 2023

Li Zhang

Xin Jin

ArXiv (abs)PDF HTML

Papers citing "QVRF: A Quantization-error-aware Variable Rate Framework for Learned Image Compression"

10 / 10 papers shown

Title
ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding Dailan He Zi Yang Weikun Peng Rui Ma Hongwei Qin Yan Wang 76 330 0 21 Mar 2022
Joint Global and Local Hierarchical Priors for Learned Image Compression Jun-Hyuk Kim Byeongho Heo Jong-Seok Lee 82 85 0 08 Dec 2021
Universal Efficient Variable-rate Neural Image Compression Shan Yin Chao Li Youneng Bao Yongshang Liang MQ 30 13 0 18 Nov 2021
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform Myung-Sin Song Jinyoung Choi Bohyung Han 71 93 0 21 Aug 2021
Checkerboard Context Model for Efficient Learned Image Compression Dailan He Yaoyan Zheng Baochen Sun Yan Wang Hongwei Qin 81 283 0 29 Mar 2021
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research Jean Bégaint Fabien Racapé Simon Feltman Akshay Pushparaja VLM 63 427 0 05 Nov 2020
Channel-wise Autoregressive Entropy Models for Learned Image Compression David C. Minnen Saurabh Singh 71 412 0 17 Jul 2020
Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation Ze Cui Jing Wang Shang Gao Bo Bai Tiansheng Guo Yihui Feng 67 136 0 04 Mar 2020
Variable Rate Deep Image Compression with Modulated Autoencoder Fei Yang Luis Herranz Joost van de Weijer Jose A. Iglesias-Guitian Antonio M. López M. Mozerov 63 93 0 11 Dec 2019
Lossy Image Compression with Compressive Autoencoders Lucas Theis Wenzhe Shi Andrew Cunningham Ferenc Huszár 64 1,056 0 01 Mar 2017