About me

Hi! I’m Jooyeol Yun. I am a Ph.D. candidate at Korea Advanced Institute of Science and Technology (KAIST) supervised Prof. Jaegul Choo.
My research interests are

• AI for graphic designers. 🎨
• Image generation and editing.
• Enhancing the quality of everyday images taken by casual users. 📷

Education

Ph.D. in Artificial Intelligence at Korea Advanced Institue of Science and Technology (KAIST)

M.S. in Artificial Intelligence at Korea Advanced Institue of Science and Technology (KAIST)

B.S. in Computer Science and Engineering at Korea University

International Conference Publications

• Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention
  Kyungmin Jo, Jooyeol Yun, Jaegul Choo
  Computer Vision and Pattern Recognition CVPR, 2025, Accepted

• Enabling Region-Specific Control via Lassos in Point-Based Colorization
  Sanghyeon Lee, Jooyeol Yun, Jaegul Choo
  Association for the Advancement of Artificial Intelligence AAAI, 2025, Accepted

• Disentangling Subject-Irrelevant Elements against Subject in Personalized Text-to-Image Diffusion via Filtered Self-distillation
  Seunghwan Choi, Jooyeol Yun, Jeonghoon Park, and Jaegul Choo
  Winter Conference on Applications of Computer Vision WACV, 2025, Accepted

• Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization
  Jooyeol Yun and Jaegul Choo
  European Conference on Computer Vision ECCV, 2024, Accepted

• Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis
  Minho Park*, Jooyeol Yun*, Seunghwan Choi, and Jaegul Choo (*: equal contributions)
  International Conference on Computer Vision ICCV, 2023, Accepted

• iColoriT: Towards Propagating Hints to the Right Region for Interactive Colorization via Leveraging Vision Transformer
  Jooyeol Yun*, Sanghyeon Lee*, Minho Park*, and Jaegul Choo (*: equal contributions)
  Winter Conference on Applications of Computer Vision WACV, 2023, Accepted

• Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children
  Jungsoo Lee*, Jooyeol Yun*, Sunghyun Park, Yonggyu Kim, and Jaegul Choo (*: equal contributions)
  British Machine Vision Conference BMVC, 2021, Accepted