AutoEncoder based
ELIC : ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding (CVPR, 2022)
PO-ELIC: Perception-Oriented Efficient Learned Image Coding (CVPR, 2022)
SegPIC: Region-Adaptive Transform with Segmentation Prior for Image Compression (2024)
MLIC: Multi-Reference Entropy Model for Learned Image Compression (ACMMM, 2022)
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression (ICML, 2023)
Transformer Based
Entroformer: A Transformer-based Entropy Model for Learned Image Compression (ICLR, 2022)
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression (ECCV, 2022)
LIC-TCM: Learned Image Compression with Mixed Transformer-CNN Architectures (CVPR, 2023)
STF, WACNN: The Devil Is in the Details: Window-based Attention for Image Compression (CVPR, 2022)
GAN
HIFIC: High-Fidelity Generative Image Compression (NeurIPS 2020)
Diffusion
CDC: Lossy Image Compression with Conditional Diffusion Models (NeurIPS , 2022)
Implicit Neural Representation
COIN: COmpression with Implicit Neural representations (ICLR, 2021)
COIN++: Neural Compression Across Modalities (TMLR, 2022)
RQAT-INR: Improved Implicit Neural Image Compression (Data Compression Conference, 2023)
