[CVPR'25] Official Implementation of MambaIC: State Space Models for High-Performance Learned Image Compression
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Updated
Nov 3, 2025 - Python
[CVPR'25] Official Implementation of MambaIC: State Space Models for High-Performance Learned Image Compression
[ECCV2024] SegPIC for image compression
[ICIP 2024] Lightweight distribution compression for neural image compression
[Paper List‘25] Paper list of Generative Image Compression (GIC), Generative Video Compression (GVC), Extreme Learned Image Compression (ELIC), and Extreme Learned Video Compression (ELVC) for Human Vision and Machine Vision.
Official repository for the paper “FlashGMM: Fast Gaussian Mixture Entropy Model for Learned Inage Compression” (IEEE VCIP 2025)
Supplementary material for the paper "PERCEPTUAL LEARNED IMAGE COMPRESSION VIA END-TO-END JND-BASED OPTIMIZATION", IEEE ICIP 2024
Codes for paper titled "Learned Lossless Image Compression Through Interpolation (LLICTI) With Low Complexity"
Experiment applying L3C (CVPR2019) for image compression on CLIC-2019 dataset
Unofficial Pytorch Implementation of S2CFormer
This repo includes the code files for IMAGE COMPRESSION WITH LEARNED LIFTING-BASED DWT AND LEARNED TREE-BASED ENTROPY MODELS paper
Codes for paper titled "A Learned Pixel-by-Pixel Lossless Image Compression Method with 59K Parameters and Parallel Decoding"
Utility Scripts and Procedures for Preparing Dataset for Learned Image Compression
Codes for paper titled "End-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed-Loop Training"
Codes for manuscript titled "On Variable-Bitrate Learned Image Compression: Training Strategies, Dead-Zone Quantization, and Uniform vs. Channel-Adaptive Latent Quantization"
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