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A single visual tokenizer in UniAR bridges the gap between understanding and generation, achieving state-of-the-art performance in image generation and editing.
Revisiting spatial reasoning allows models to correct initial hypotheses with new perspectives, dramatically enhancing their accuracy in complex environments.
