LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization
LooC introduces a parameter-efficient low-dimensional codebook for Compositional Vector Quantization (CVQ). It reframes codevectors as 'visual characters' and uses a unified quantizer instead of Product Quantization. This results in a significantly smaller codebook size, improved performance across various tasks, and better computational efficiency.