ViQ: Text-Aligned Visual Quantized Representations at Any Resolution

arXiv·medium signal

Introduces a text-aligned visual quantization scheme that represents images as discrete tokens in the same space as text at arbitrary resolution, enabling simpler and more efficient multimodal modeling. Tackles the long-standing difficulty of discretizing images for unified text-vision training. Relevant for teams building unified multimodal tokenizers.