IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation

The article introduces Implicit Visual Chain-of-Thought (IV-CoT), a novel framework designed to enhance structure-aware text-to-image generation by decomposing visual conditioning into a structural-to-semantic cascade. This method utilizes training-only sketch supervision to guide structural queries, enabling the generation of a latent visual plan that informs the rendering of appearance, thus improving performance on benchmarks like GenEval and T2I-CompBench. IV-CoT's architecture allows for implicit chain-of-thought reasoning in a single forward pass, making it a significant advancement for practitioners focused on precise object and layout representation in generated images.