Author

Fu Li

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Preprint Sep 2026

Tree-VQ: Progressive Image Compression from Pretrained Vector Quantizers

Tree-VQ is presented, a post-hoc conversion of a pretrained flat VQ tokenizer into a fine-grained, arbitrary-prefix progressive representation while preserving its encoder assignments and every learned leaf vector.

Ming-Ming Ma, Xin-Kun Wang, Tian-Yi Xu et al. · 0 citations

Preprint Sep 2026

Tree-Structured Vector Quantization For Efficient And Progressive Image Compression

Tree-VQ is proposed, a progressive tree-structured vector quantization framework for learned image compression that codes progressive continuation decisions and routed branch refinements using only causally available decoded contexts and achieves a superior performance--efficiency trade-off.

Xin-Kun Wang, Tian-Yi Xu, Qing-Yu Luo et al. · 0 citations