Robuta

Vector Quantization (VQ) is a well-known technique in deep learning for extracting informative discrete latent representations. VQ-embedded models have shown...

Aoxiong Yin, Haoyuan Li, Kai Shen, Siliang Tang, Yueting Zhuang. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics...

Vector-Quantization (VQ) generative models are widely used to learn a high-quality (HQ) codebook and a decoder as powerful generative priors for blind image...