FiRe: Fine-grained Multimodal Reasoning for Enhanced Image Generation
FiRe enhances image generation by using a multi-step reasoning loop to ensure prompts are followed precisely. It decomposes prompts into visual requirements, has the model self-judge its output, and then generates localized corrections. This process is managed by FiRe-GRPO reinforcement learning, leading to superior adherence to complex textual instructions and better overall image quality.