A Compact Hybrid Convolution–Frequency State Space Network for Learned Image Compression
arXiv:2511.20151v2 Announce Type: replace
Abstract: Learned image compression (LIC) has recently benefited from Transformer- and state space models (SSM)- based backbones for modeling long-range dependencies. However, the former typically incurs quadr…