Han Liu

MetaFind is a scene-aware multi-modal retrieval framework designed to enable accurate, efficient, and stylistically coherent 3D asset selection for real-world scene generation in the metaverse.

We present a unified theoretical framework for standard and high-order flow matching and prove their minimax optimality.

We establish the universal approximation capability of single-layer, single-head self- and cross-attention mechanisms