2026
Rosetta Stone For Unified MLLMs: A Unified Tokenizer to Decipher Understanding and Generation
CVPR 2026
Major state-of-the-art unified tokenizers predominantly adopt pixel reconstruction and feature alignment as pretext tasks, they leave key domains largely unexplored such as architecture, supervised objectives and tasks interaction, potentially resulting in limited performance. We systematically inve