HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression 事件

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression arXiv:2512.07192v2 Announce Type: replace Abstract: Vector Quantization (VQ) based generative image compression has achieved remarkable perceptual quality. However, existing VQ codecs suffer from two fundamental limitations. First, they lack efficient content-adaptive entropy modeling and rely on static frequencies, leading to low coding efficiency. Second, the inherent conflict between discrete indices and