Adaptive Learned Image Compression with Graph Neural Networks
arXiv:2603.25316v1 Announce Type: new
Abstract: Efficient image compression relies on modeling both local and global redundancy. Most state-of-the-art (SOTA) learned image compression (LIC) methods are based on CNNs or Transformers, which are inherent…