Instruction-based image editing uses a planner-renderer pipeline: a vision-language model (VLM) first converts the instruction into an edit plan, and a diffusion model then executes that plan. Training such systems with only final-image rewards is inefficient because a poor edit does not reveal whether additional optim...
Hao-Xiang Cao, Jiajiong Cao, Xuan-Pu Zhang et al.· 0 citations
The rapid advancement of large language models (LLMs) has created new opportunities for intelligent fault diagnosis, particularly in complex industrial systems, such as heating, ventilation, and air conditioning (HVAC) in urban rail transit. Although LLMs have shown strong general reasoning capabilities, adapting them...
AnyStyle is proposed, a streamlined framework for image-guided style transfer that adopts a unified single-adapter paradigm for coherent style capture from the style image and incorporates training-free structural guidance from the content image, thus avoiding complex entanglement between multiple adapters and improvin...
Yongwen Lai, Chaoqun Wang· arXiv.org· 0 citations
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