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Xianghong Fang

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#machine learning Preprint Sep 2026

A Unified Rate-Distortion Perspective on Vector, Product, and Scalar Quantization

Discrete visual tokenization, predominantly driven by vector, scalar, and product quantization, lacks a unified conceptual framework for understanding quantization tradeoffs. In this paper, we propose a unified rate--distortion perspective on modern discrete visual tokenization. By viewing quantization as lossy compres...

Xianghong Fang, Wenlong Mou, Yuan Yuan et al. · 0 citations

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