Seoyoung Lee

I am a Ph.D. student at The University of Texas at Austin, advised by Prof. Atlas Wang and Prof. Qixing Huang. My research interest lies in the areas of computer vision, graphics, and machine learning. Specifically, I am interested in how to perceive rich information from the world with limited or multimodal data.

Previously, I was at Visual Information Processing Lab, Seoul National University (SNU) where I completed my master's studies with Prof. Joonseok Lee, studying computer vision. Before that, I received Bachelor's degrees in Statistics and Business Administration at SNU, where I worked with Prof. Taesung Park and Prof. Iksoo Huh on statistical meta-analysis at Bioinformatics and Biostatistics Lab.

My first name is pronounced "Suh-young" []

Email / Github / LinkedIn

News

05/2024: Started my internship at Adobe
10/2023: Paper on pose-conditioned diffusion models was accepted to WACV 2024
08/2023: Started my PhD in Computer Science at UT Austin
06/2023: Presented a paper on talking face generation at CVPR Workshop 2023
09/2022: Two papers on virtual try-on and efficient NeRFs were accepted to BMVC 2022
06/2022: Paper on virtual try-on was selected as an oral presentation (top 5 papers) at CVPR Workshop 2022
03/2022: Paper on meta analysis of clinical trials was selected as issue cover on Nutrients
03/2021: Started MS in Data Science at Seoul National University Graduate School of Data Science

Research

	Expressive Gaussian Human Avatars from Monocular RGB Video Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, Zhangyang Wang NeurIPS, 2024 project page / paper / code
	PoseDiff: Pose-conditioned Diffusion Model for Unbounded Scene Synthesis from Sparse Inputs Seoyoung Lee, Joonseok Lee WACV, 2024 paper
	Disentangled Audio-Driven NeRF: Talking Head Generation with Detailed Identity-Specific Micro expressions Seoyoung Lee, Seongsu Ha, Joonseok Lee CVPR Workshops: Sight and Sound, 2023 paper
	Learning to Wear: Details-Preserved Virtual Try-on via Disentangling Clothes and Wearer Sangho Lee, Seoyoung Lee, Joonseok Lee BMVC, 2022 project page / paper
	Towards Efficient Neural Scene Graphs by Learning Consistency Fields Yeji Song, Chaerin Kong, Seoyoung Lee, Nojun Kwak, Joonseok Lee BMVC, 2022 project page / paper / code
	Towards Detailed Characteristic-Preserving Virtual Try-On Sangho Lee, Seoyoung Lee, Joonseok Lee CVPR Workshops: The 5th Workshop on Computer Vision for Fashion, Art, and Design, 2022 (Oral Presentation) paper / video
	Meta-Analysis of Randomized Clinical Trials Evaluating Effectiveness of a Multivitamin Supplementation against Oxidative Stress in Healthy Subjects Seoyoung Lee, Iksoo Huh, Seunghee Kang, Yea-eun Nam, Youngseo Cho, Md Kamruzzaman, Jina Hong, Oran Kwon, Taesung Park Nutrients, 2022 (Issue Cover) paper

Source code credit to Dr. Jon Barron