Search Results for author:
Found 3 papers, 2 papers with code
HFLIC: Human Friendly Perceptual Learned Image Compression with Reinforced Transform
In recent years, there has been rapid development in learned image compression techniques that prioritize ratedistortion-perceptual compression, preserving fine details even at lower bit-rates.
LLIC: Large Receptive Field Transform Coding with Adaptive Weights for Learned Image Compression
To tackle this issue, we propose Large Receptive Field Transform Coding with Adaptive Weights for Learned Image Compression (LLIC).
MLIC: Multi-Reference Entropy Model for Learned Image Compression
Based on MEM and MEM$^+$, we propose image compression models MLIC and MLIC$^+$.
Ranked #1 on
Image Compression
on kodak
Cannot find the paper you are looking for? You can
Submit a new open access paper.
