A Unified End-to-End Framework for Efficient Deep Image Compression

A Unified End-to-End Framework for Efficient Deep Image Compression

9 February 2020

Jiaheng Liu

Papers citing "A Unified End-to-End Framework for Efficient Deep Image Compression"

8 / 8 papers shown

Title
LoC-LIC: Low Complexity Learned Image Coding Using Hierarchical Feature Transforms Ayman A. Ameen Thomas Richter André Kaup 49 0 0 30 Apr 2025
An Information-Theoretic Regularizer for Lossy Neural Image Compression Y. Zhang Meng Wang Xihua Sheng Peilin Chen Junru Li L. Zhang S. Wang 92 0 0 23 Nov 2024
Enhancing Learned Image Compression via Cross Window-based Attention Priyanka Mudgal Feng Liu 24 0 0 28 Oct 2024
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression Wei Jiang Jiayu Yang Yongqi Zhai Feng Gao Ronggang Wang 22 32 0 28 Jul 2023
Content Adaptive Latents and Decoder for Neural Image Compression Guanbo Pan Guo Lu Zhihao Hu Dong Xu 16 22 0 20 Dec 2022
Improving Multi-generation Robustness of Learned Image Compression Litian Li Zheng Yang Ronggang Wang 8 2 0 31 Oct 2022
End-to-end optimized image compression with competition of prior distributions Benoit Brummer Christophe De Vleeschouwer 11 4 0 17 Nov 2021
ELF-VC: Efficient Learned Flexible-Rate Video Coding Oren Rippel Alexander G. Anderson Kedar Tatwawadi Sanjay Nair Craig Lytle Lubomir D. Bourdev 19 113 0 29 Apr 2021