Instruction-driven image editing has reached native 4K, yet how such editors are trained remains undisclosed, and pretraining one from scratch is beyond most teams. The task itself compounds the difficulty: a single end-to-end editor cannot make precise parametric adjustments, match specialized experts, or interpret th...
Shan-Yan Guan, Shi-Yu Li, Xin Li et al.· 0 citations
A mechanistic analysis of the VLM model's internal attention patterns shows that a simple describe-then-decide prompting strategy increases vision attention by 30-40% during generation, and task-specific fine-tuning improves dermatology classification but reduces cross-domain medical question-answering performance in t...
Janet Wang, Yun-Bei Zhang, Xiao Wang et al.· 0 citations
This work injects two complementary semantic priors into Visual prompt tuning, a cascaded scheme that integrates both priors throughout ViT adaptation, and proposes a cascaded scheme that integrates both priors throughout ViT adaptation.
Xi Xiao, Xing-Jian Li, Cheng Han et al.· Trans. Mach. Learn. Res.· 0 citations
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