PROJECT

VQVAE Toy Implementation

A compact PyTorch study implementation of a Vector-Quantized Variational Autoencoder, trained on FFHQ face images. It exposes the encoder, codebook and decoder path through a small, inspectable model.

FFHQ reconstruction example from the VQ-VAE toy implementation.
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