My research interests span the development and exploration of multi-modal generative models. I am currently engaged in developing highly controllable and compositional generative models that empower creative and interactive content creation and manipulation. Additionally, I am also invested in understanding and improving vision-language models to better grasp and respond to the complex interactions between visual data and language.
I am looking for a Ph.D. position in 24 Fall!
Personalized Comic Story Generation Wenxuan Peng,
Peter Schaldenbrand,
Jean Oh,
NeurIPS Workshop on Machine Learning for Creativity and Design, 2023
paper