Yun-Cho Yong

A unified multi-modal latent diffusion framework with modality-dropout training

Introduction Multi-modal conditioning in latent diffusion models—combining text, structural, and spatial guidance signals—substantially improves controllable image synthesis, yet two limitations persist across most existing frameworks. First, conditioning modalities are fused using fixed architectural weights that rema...