We provide comprehensive implementation details for the training and inference of our method in supplementary materials, aiming to enhance the reproducibility of our approach. We also make both the code and pre-trained weights open-sourced to facilitate further investigation and exploration.

ACKNOWLEDGEMENT

This project is funded in part by Shanghai AI Laboratory (P23KS00020, 2022ZD0160201), CUHK Interdisciplinary AI Research Institute, and the Centre for Perceptual and Interactive Intelligence (CPIl) Ltd under the Innovation and Technology Commission (ITC)’s InnoHK.

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