Jianmin Bao

GIVE achieves reliable geometric edits in video editing by unifying object-state specifications, overcoming traditional challenges in generative workflows.

A million-scale dataset for identity-preserving video generation enables a new benchmark that outperforms existing models with minimal parameter overhead.

Train a text-to-image model that rivals the state-of-the-art with 1/5th the compute by using GPT-4 to generate better captions.