StableVQ: Stabilizing Vector-Quantized Tokenizer Training

StableVQ addresses training instability in discrete visual tokenizers by decoupling the learning objectives of the encoder-decoder and the codebook. This prevents the fragile mutual cooperation required in standard VQ training from breaking under stress.