COMPASS: Grounding Composition-Intent Guidance in Unified Multimodal Models
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 $τ_c$ as the central intent anchor. On the perception side, COMPASS injects composition expertise into an MoE backbone in a minimally invasive manner and distills the inferred intent into $τ_c$. On the generati...
| Authors | Ziqi Zhou, Weize Quan, Mining Tan et al. |
|---|---|
| Primary category | cs.AI |
| Published | 27 June 2026 |
| Last updated at source | 28 August 2026 |
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