arXiv:2606.28696v1 Announce Type: new Abstract: Composition is a high-level visual intent that governs where subjects are placed and how a scene is organized, yet current unified multimodal models remain unreliable at fine-grained composition recognition and struggle to turn such intent into controllable generation. We present COMPASS, the first unified multimodal framework that grounds composition-intent control in a single system spanning both composition perception and composition-guided generation, with a shared expert token $\tau_c$ as the central intent anchor. On the perception side, CO
The continuous advancements in unified multimodal models are pushing the boundaries of AI capabilities, making fine-grained control and understanding of visual intent the next frontier.
This breakthrough represents a significant step towards more controllable and intuitive AI systems, bridging the gap between human intent and AI execution in creative and analytical tasks.
AI models will gain a more precise understanding and generation capacity for compositional intent, leading to more sophisticated visual content creation and interpretation.
- · AI researchers and developers
- · Creative industries relying on visual content
- · Generative AI platforms
- · Design and advertising sectors
- · Platforms with limited fine-grained control
- · Businesses relying on manual visual layout and composition
Immediate improvement in the fidelity and controllability of visual AI generation and perception.
Accelerated development of AI tools that can interpret and execute complex visual briefs with minimal human intervention.
The democratization of advanced visual content creation, potentially disrupting traditional artistic and design workflows.
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Read at arXiv cs.AI