AI RESEARCH
CLEAR: Unlocking Generative Potential for Degraded Image Understanding in Unified Multimodal Models
arXiv CS.CV
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ArXi:2604.04780v1 Announce Type: new Image degradation from blur, noise, compression, and poor illumination severely undermines multimodal understanding in real-world settings. Unified multimodal models that combine understanding and generation within a single architecture are a natural fit for this challenge, as their generative pathway can model the fine-grained visual structure that degradation destroys. Yet these models fail to leverage their own generative capacity on degraded inputs. We trace this disconnect to two compounding factors: existing.