VP-VAE: Rethinking Vector Quantization via Adaptive Vector Perturbation

Linwei Zhai, Han Ding, Mingzhi Lin +5

Vector Quantized Variational Autoencoders (VQ-VAEs) are fundamental to modern generative modeling, yet they often suffer from training instability and "codebook collapse" due to th…