I am a Ph.D. student at Purdue ECE, advised by Prof. Inouye. I have earned my M.S. degree in CSE at Korea University, advised by Prof. Jaegul Choo. My research interest lies in Generative Models and their applications. I received B.A. in the department of Film, Television and Multimedia at Sungkyunkwan University in Korea.
Working Papers
- Causally Motivated Diffusion Sampling Frameworks for Harnessing Contextual Bias
Wonwoong Cho, Raymond A. Yeh, David I. Inouye
(Under review)
Publications
Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods
[paper]
Wonwoong Cho, Hareesh Ravi, Midhun Harikumar, Vinh Khuc, Krishna K. Singh, Cynthia Lu, David I. Inouye, Ajinkya Kale
ECCV’24Cooperative Distribution Alignment via JSD Upper Bound
[paper]
Wonwoong Cho*, Ziyu Gong*, David I. Inouye
Neurips’22 (* equal contributions)Why be adversarial? Let’s cooperate!: Cooperative Dataset Alignment via JSD Upper Bound
[paper]
Wonwoong Cho*, Ziyu Gong*, David I. Inouye
ICML’21 Workshop INNF+ (spotlight talk)Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation
[paper] | [code] | [video] | [presentation material]
Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo
CVPR’19 (oral)What and Where to Translate: Local Mask-based Image-to-Image Translation
[paper]
Wonwoong Cho, Seunghwan Choi, Junwoo Park, David Keetae Park, Tao Qin, Jaegul ChooColoring with Words: Guiding Image Colorization Through Text-based Palette Generation
[paper] | [code]
Hyojin Bahng*, Seungjoo Yoo*, Wonwoong Cho*, David Keetae Park, Ziming Wu, Xiaojuan Ma, Jaegul Choo
ECCV’18 (* equal contributions)
CV
Here is my CV