Large-scale study of AI nudification on 4chan identifies 24,105 items showing a shift to 55.8% non-celebrity targets and dominance of open-source models like Stable Diffusion.
Training-Free Safe Text Em- bedding Guidance for Text-to-Image Diffusion Models
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
VESFlow edits the learned velocity field of flow matching models via a safe-conditional posterior to produce safe images in 4 sampling steps, with an optional risk filter and VESFlow+ variant that also repels from unsafe directions.
citing papers explorer
-
From Celebrities to Anyone: Characterizing AI Nudification Content, Technology, and Community Dynamics on 4chan
Large-scale study of AI nudification on 4chan identifies 24,105 items showing a shift to 55.8% non-celebrity targets and dominance of open-source models like Stable Diffusion.
-
Safe Few-Step Generation via Velocity Editing
VESFlow edits the learned velocity field of flow matching models via a safe-conditional posterior to produce safe images in 4 sampling steps, with an optional risk filter and VESFlow+ variant that also repels from unsafe directions.