Learned Image Compression via Unevenly Grouped Channel Context Gaussian Mixture Entropy Modeling
While deep learning-based image compression has achieved remarkable rate-distortion performance, existing entropy models are often hindered by rigid channel-wise grouping and oversimplified probability distribution assumptions. To address these limitations, this paper proposes a novel entropy modeling framework integra...