An iterative design-generate-redesign pipeline with four specialized LLM agents and self-routing correction improves compositional text-to-video generation on T2V-CompBench, with the largest gains in object numeracy.
Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models
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GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration
An iterative design-generate-redesign pipeline with four specialized LLM agents and self-routing correction improves compositional text-to-video generation on T2V-CompBench, with the largest gains in object numeracy.