Yan Kang

HiLo-Token: Input-Adaptive High-Low Frequency Token Compression for Efficient Image Editing

This work proposes HiLo-Token, an input-adaptive token compression framework that allocates more token budget to high-frequency, rich-context regions while assigning fewer tokens to low-frequency areas, and introduces a simple yet effective high-frequency token selection strategy based on spatial frequency.