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cs.CV2026
Breaking the Uniformity Trap: Scaling Video Diffusion Model via SplitMoE
Yu Xu, Yuxin Zhang, Xiao Yang +7
Mixture-of-Experts (MoE), popularized by large language models, is a promising paradigm for scaling visual generative models. However, conventional token-wise MoE routes tokens ind…
cs.CV2026
Beyond Pixels: Visual Metaphor Transfer via Schema-Driven Agentic Reasoning
Yu Xu, Yuxin Zhang, Lin Gao +3
A visual metaphor constitutes a high-order form of human creativity, employing cross-domain semantic fusion to transform abstract concepts into impactful visual rhetoric. Despite t…
cs.CV2026
TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts
Yu Xu, Hongbin Yan, Juan Cao +11
Unified image generation and editing models suffer from severe task interference in dense diffusion transformers architectures, where a shared parameter space must compromise betwe…