Xuemeng Song

FashionLens achieves state-of-the-art performance in versatile fashion image retrieval by dynamically adapting query representations to task-aligned metric spaces, outperforming specialized models.

Key contribution not extracted.

Diffusion-based denoising can significantly improve composed image retrieval by making similarity scores more robust to hard negative samples.