Purpose: We aim to provide a summary of neural image compression. More papers will be summarized.

University of Science and Technology of China (USTC), Intelligent Media Computing Lab.

📌 About new works. If you want to incorporate your studies (e.g., the link of paper or project) on neural image compression in this repository. Welcome to raise an issue or email us. We will incorporate it into this repository and our survey report as soon as possible.

• Survey & Benchmark
• Lossless Image Compression
• Near-Lossless Image Compression
• Lossy Image Compression
  • Nonlinear Transform Coding
  • Generative Image compression
• Other tasks

Models	Paper	First Author	Venue	Project
LC-FDNet	LC-FDNet: Learned Lossless Image Compression With Frequency Decomposition Network	Hochang Rhee	CVPR2022
PILC	PILC: Practical Image Lossless Compression With an End-to-End GPU Oriented Neural Framework	Ning Kang, Shanzhao Qiu	CVPR2022
IDF++	IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression	Rianne van den Berg	ICLR2021
iFlow	iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder	Shifeng Zhang	NeurIPS2021
OSOA	OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression	Chen Zhang	NeurIPS2021
--	Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding	Yangjun Ruan, Karen Ullrich	ICML2021
iVPF	iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression	Shifeng Zhang	CVPR2021
--	Learning Scalable l∞-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression	Yuanchao Bai	CVPR2021
L3C	Practical full resolution learned lossless image compression	Fabian Mentzer	CVPR2019

Models	Paper	First Author	Architecture	Venue	Project
--	Ultra High Fidelity Deep Image Decompression With l∞-Constrained Compression	Xi Zhang	CNN	TIP2020
--	Learning Scalable l∞-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression	Yuanchao Bai	VAE	CVPR2021
DLPR	Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression	Yuanchao Bai	VAE	TPAMI2023

Models	Paper	First Author	Architecture	Venue	Project
--	Learned Image Compression with Mixed Transformer-CNN Architectures	Jinming Liu	AE	CVPR2023
NVTC	NVTC: Nonlinear Vector Transform Coding	Runsen Feng		CVPR2023
ELIC	ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding	Dailan He		CVPR2022
SHVQ	Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations	Eirikur Agustsson	AE	NIPS2017
--	Lossy Image Compression with Compressive Autoencoders	Lucas Theis	AE	ICLR2017
--	End-to-end Optimized Image Compression	Johannes Ballé	AE	ICLR2017

Models	Paper	First Author	Architecture	Venue	Project
CDC	Lossy Image Compression with Conditional Diffusion Models	Ruihan Yang	Diffusion Model	NeurIPS2023
HiFiC	High-Fidelity Generative Image Compression	Fabian Mentzer	GAN	NeurIPS2020
--	Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff	Yochai Blau	--	ICML2019