1 citations · 2 across the 4 of their papers we have counts for
4 papers
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment
Yong-Hyun Park, Junghoon Seo, Bomseok Park +2
Identifying the relevant input features that have a critical influence on the output results is indispensable for the development of explainable artificial intelligence (XAI). Remo…
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim +5
Recent advancements in text-to-image (T2I) models have unlocked a wide range of applications but also present significant risks, particularly in their potential to generate unsafe…
Upsample Guidance: Scale Up Diffusion Models without Training
Juno Hwang, Yong-Hyun Park, Junghyo Jo
Diffusion models have demonstrated superior performance across various generative tasks including images, videos, and audio. However, they encounter difficulties in directly genera…
Resolution Chromatography of Diffusion Models
Juno Hwang, Yong-Hyun Park, Junghyo Jo
Diffusion models generate high-resolution images through iterative stochastic processes. In particular, the denoising method is one of the most popular approaches that predicts the…