3 papers
cs.CV2026
ResARC: Residual-Aware AutoRegressive Coding for Ultra-Low Bitrate Image Compression
Qin Yan, Ruixiao Dong, Yutao Xie +5
Progressive autoregressive image codecs provide an appealing paradigm for generative compression by quantizing continuous latents into discrete tokens, transmitting coarse-to-fine…
cs.CV2026
Generative Video Compression Based on Hierarchical Referencing
Daowen Li, Ding Ding, Zifu Zhang +2
Diffusion-based generative video compression has emerged as a promising paradigm to improve perceptual quality, where latent frames are required to be encoded efficiently while ser…
cs.CV2026
ProGVC: Progressive-based Generative Video Compression via Auto-Regressive Context Modeling
Daowen Li, Ruixiao Dong, Kai Li +3
Perceptual video compression leverages generative priors to reconstruct realistic textures and motions at low bitrates. However, existing perceptual codecs often lack native suppor…