Qing-Bin Liu

A Retrieval-Augmented Generation framework for scientific image quality assessment, designed to simultaneously address both the understanding track (SIQA-U) and the scoring track (SIQA-S) of the SIQA challenge, is proposed.

ForgeWM achieves unmatched action-sign accuracy and motion-profile alignment in few-step video generation, outperforming existing models while reducing latency.