173 citations · 276 across the 23 of their papers we have counts for
10 papers · 1 filter
Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models
Gihyun Kwon, Simon Jenni, Dingzeyu Li +3
While there has been significant progress in customizing text-to-image generation models, generating images that combine multiple personalized concepts remains challenging. In this…
Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing
Hangeol Chang, Jinho Chang, Jong Chul Ye
Despite recent advancements in text-to-image diffusion models facilitating various image editing techniques, complex text prompts often lead to an oversight of some requests due to…
UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation
Kwanyoung Kim, Jaa-Yeon Lee, Jong Chul Ye
Nakagami imaging holds promise for visualizing and quantifying tissue scattering in ultrasound waves, with potential applications in tumor diagnosis and fat fraction estimation whi…
Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance
Gihyun Kwon, Jong Chul Ye
Diffusion models have shown significant progress in image translation tasks recently. However, due to their stochastic nature, there's often a trade-off between style transformatio…
Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion
Inhwa Han, Serin Yang, Taesung Kwon +1
Diffusion models have shown superior performance in image generation and manipulation, but the inherent stochasticity presents challenges in preserving and manipulating image conte…
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer
Serin Yang, Hyunmin Hwang, Jong Chul Ye
Diffusion models have shown great promise in text-guided image style transfer, but there is a trade-off between style transformation and content preservation due to their stochasti…