Zhaoxin Li

MUSE: Unlocking Timestep as Native Task Steering for One-Step Dense Prediction

Shuo Zhou, Zhaoxin Li, Xiujuan Chai

Monocular dense prediction has recently seen remarkable success by repurposing pre-trained diffusion models. This opens a promising yet challenging avenue for more efficient multi-task learning paradigm. However, existing multi-task diffusion methods often introduce parameter-hea…Read more