Jingdong Wang

MLLMs excel at reasoning over diagrams but falter in parsing and editing them, revealing a significant gap that needs addressing.

Zero-initialization emerges as the key driver behind the superior performance of adaLN-Zero in diffusion transformers, reshaping our understanding of conditioning mechanisms in image generation.