4 papers · 1 filter
SafeCtrl: Region-Aware Safety Control for Text-to-Image Diffusion via Detect-Then-Suppress
Lingyun Zhang, Yu Xie, Zhongli Fang +2
The widespread deployment of text-to-image diffusion models is significantly challenged by the generation of visually harmful content, such as sexually explicit content, violence,…
SafeCtrl: Region-Based Safety Control for Text-to-Image Diffusion via Detect-Then-Suppress
Lingyun Zhang, Yu Xie, Yanwei Fu +1
The widespread deployment of text-to-image models is challenged by their potential to generate harmful content. While existing safety methods, such as prompt rewriting or model fin…
NSFW-Classifier Guided Prompt Sanitization for Safe Text-to-Image Generation
Yu Xie, Chengjie Zeng, Lingyun Zhang +1
The rapid advancement of text-to-image (T2I) models, such as Stable Diffusion, has enhanced their capability to synthesize images from textual prompts. However, this progress also…
Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization
Lingyun Zhang, Yu Xie, Yanwei Fu +1
As large-scale diffusion models continue to advance, they excel at producing high-quality images but often generate unwanted content, such as sexually explicit or violent content.…