Undergraduate student, Seoul National University
I study generative modeling and representation learning. My research develops controllable generative systems across images, human motion, and 3D geometry. More recently, I have become interested in how intelligent systems learn and adapt representations. See my Full Profile for details.
My research has been featured by the College of Engineering at Seoul National University. As an undergraduate student, I’m grateful for the opportunity to have my work and research highlighted!
My research focuses on generative visual computing, where generative models are used to control visual content. I have studied how generative models can incorporate user intent and be adapted to diverse tasks. You can find the my publications here.
Recently, I have been exploring representation learning mechanisms that could make intelligent systems more interpretable. This direction builds on my previous work by moving from controlling the knowledge contained in models toward understanding how useful representations are learned.
Research overview. Click to zoom.
Detailed research vision, full publication list, education, research experience, awards, and services.
Full ProfileI am grateful to all collaborators from both ongoing and previous projects. I'm also open to new collaborations.
Collaboration