Video diffusion models can reconstruct visually compelling content from severely compressed representations at ultra-low bitrates, but they impose a rigid deployment trade-off. Bidirectional (BI) models achieve high quality through dense full-sequence attention, yet require the entire sequence before reconstruction and...
Tian-Yu Zhang, Shuai Huo, Deng-Chao Jin et al.· 0 citations
Generative image compression produces visually plausible reconstructions at low bitrates, yet their behavior as the rate approaches zero remains largely unexplored. When pushed below normal operating rates, representative codecs undergo semantic collapse: rather than gracefully losing source-specific detail, they produ...
Tian-Yu Zhang, Zhao-Yang Jia, Hou-Qiang Li et al.· 0 citations
This work introduces PULSE, a practical codec that enables low-latency decoding on diverse hardware platforms with an ultra-low-complexity 5.2 kMAC/pixel neural receiver, and efficient bit-exact entropy coding with an integer linear CDF predictor and a meta prior.
Zhao-Yang Jia, Tian-Yu Zhang, Zi-Han Zheng et al.· 0 citations
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