Welcome to my GitHub profile!

I'm passionate about Computer Vision, with a strong focus on Image Synthesis and Style Transfer.

Here's a little bit more about me: Portfolio

• 🎓 Education:

  • (March 2023 – Present) Master's degree in Artificial Intelligence at Chung-Ang University
  • CAU AutoML Lab

• 📚 Research Interests:

  • Style Transfer View Project, Code
  • Diffusion based Image Generation
  • Image-to-Image Translation

• 📬 Contact:

  • Email: [email protected]

• 🧑‍🔬 Research:

  • Conduct experiments with style transfer models based on stable diffusion.
  • Develop methods to improve semantic shape preservation in style transfer.

• 🛠️ Skills:

  • Frameworks: PyTorch, TensorFlow, HuggingFace, Pandas, scikit-learn,
  • Languages: Python, C/C++
  • Tools: WandB, Git, Docker

• 🎨 Style Transfer Using Diffusion Models

  • Style transfer to novel views using correspondences between photos and sketches View Project & Code
  • (Submitted to CVPR 2025) S. Kim, J. Lee "S2PreST: Semantic-Shape-Guided Style Transfer in Inversion-Based Diffusion for Source Images Preservation" View Project & Code
  • Focused on leveraging semantic shape guidance for precise source image preservation during style transfer.

• 🌟 Demos View Project & Code

  • The AI Show 2024 - AutoML Lab Booth, Ilsan, Korea, October 23-25, 2024
  • 2024 Digital Innovation Talent Symposium - Seoul, Korea, August 22-23, 2024
  • 2023 Singapore K-Tech Festival - AI/ML Innovation Research Center Booth, Singapore, Singapore, 2023
  • 2023 SW Education Festival - CAU Booth, Ilsan, Korea, 2023
  • 2023 CAU AI Symposium - AutoML Lab Booth, Seoul, Korea, 2023

• S. Kim, A. Moon, M. Kim and J. Lee "A Study of Style Transfer based on Text to Image Diffusion Models" The 43rd IEEE International Conference on Consumer Electronics (ICCE 2025), Las Vegas, USA, 11-14 January 2025. Paper Link, View Project & Code
• C. Lee, H. Lee, K. Kim S. Kim and J. Lee "An Efficient Fine-Tuning of Generative Language Model for Aspect-Based Sentiment Analysis," The 42nd IEEE Int. Conf. On Consumer Electronics (ICCE 2024), Las Vegas, USA, 5-8 January 2024. Paper Link
• S. Kim, A. Moon, J. Lee "A Study of Text Guided Image Generation Based on Diffusion Model" The Summer Annual Conference of the Institute of Electronics and Information Engineers (IEIE 2023), Jeju, South Korea, 28-30 June 2023. Paper Link, View Project & Code

• 🚀 Constantly learning new tools and frameworks to stay ahead in AI research.
• 🎨 Love experimenting with AI-generated art to blend creativity and technology.