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

arXiv:2609.02107 · cs.LG, cs.CV · Submitted 2026-09-02 · Read on arXiv

cs.LG, cs.CV

Submitted: 2026-09-02

Updated: 2026-09-02

Terminology

• Quantization — 160× in this paper · explained in 12 episodes
• Adaptation — 65× in this paper · explained in 1 episode
• Fidelity — 16× in this paper · explained in 2 episodes
• Tokenization — 14× in this paper · explained in 2 episodes
• Latent Representation — 5× in this paper · explained in 2 episodes
• Latent Space — 5× in this paper · explained in 7 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Straight-Through Estimator — 3× in this paper
• Transformer — 3× in this paper · explained in 2 episodes
• AdamW Optimizer — 2× in this paper · explained in 1 episode
• Generative Modeling — 2× in this paper · explained in 3 episodes
• Vector Quantization (VQ) — 2× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Peak Signal-to-Noise Ratio — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes
• Wasserstein Distance — 1× in this paper · explained in 4 episodes

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