AI RESEARCH
TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts
arXiv CS.AI
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ArXi:2601.08881v2 Announce Type: replace-cross Unified image generation and editing models suffer from severe task interference in dense diffusion transformers architectures, where a shared parameter space must compromise between conflicting objectives (e.g., local editing.s. subject-driven generation). While the sparse Mixture-of-Experts (MoE) paradigm is a promising solution, its gating networks remain task-agnostic, operating based on local features, unaware of global task intent.