Industrial anomaly detection is a critical task in automated visual inspection systems, aiming to identify subtle defects without relying on large-scale anomaly annotations. Recently, pretrained vision transformers such as DINO have demonstrated strong feature representation capabilities and have been widely adopted in...
Chao-Qun Wang, Wen-Jing Zhang, Bo Qi et al.· Multimedia Systems· 0 citations
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
Results indicate that the proposed multi-stage post-training framework effectively improves LLM performance on real-world text-based fault diagnosis, and provides a practical and extensible solution for intelligent maintenance decision support in complex electromechanical systems.
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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