Accelerating Diffusion MLLMs: Decider-Guided Dynamic Token Merging
Analysis
This research introduces D³ToM, a novel approach to accelerate Diffusion MLLMs by dynamically merging tokens, guided by a 'Decider'. The methodology shows promise in improving inference speed, crucial for practical applications of these models.
Key Takeaways
Reference / Citation
View Original"D³ToM employs Decider-Guided Dynamic Token Merging to improve inference speed."