Mutually Adversarial Self-Training with Evolving Data for Unified Multimodal Models

Unified multimodal models (UMMs) combine image generation and visual understanding in a shared backbone. Since generation and understanding are inverse tasks, recent studies self-train UMMs by letting the two branches cooperatively supervise each other.