Jun 23, 2026, 5:28 PM

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

TickrWire Editorial Desk·Jun 23, 2026, 5:28 PM·1 min read AI-assisted, human-reviewed

Reported by arXiv cs.AI: IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation. Analysis and context written by TickrWire.

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Unified multi-modal large language models (MLLMs) have achieved strong text-to-image generation quality, but still struggle with structure-aware prompt following, where object counts, spatial relations, attribute bindings, and coarse layouts must be preserved. We attribute this limitation in part to the entanglement of structural planning and appearance rendering within a single conditioning stream. To address this issue, we propose Implicit Visual Chain-of-Thought (IV-CoT), a latent visual reasoning framework for query-conditioned image generation. IV-CoT decomposes the visual conditioning qu

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IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation
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Unified multi-modal large language models (MLLMs) have achieved strong text-to-image generation quality, but still struggle with structure-aware prompt following, where object counts, spatial relations, attribute bindings, and coarse layouts must be preserved. We attribute this limitation in part to the entanglement of structural planning and appearance rendering within a single conditioning stream. To address this issue, we propose Implicit Visual Chain-of-Thought (IV-CoT), a latent visual reasoning framework for query-conditioned image generation. IV-CoT decomposes the visual conditioning qu

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