Youngjoong Kwon

CV | Google Scholar | Github

I am an Assistant Professor in the Department of Computer Science at Emory University.

Previously, I was a postdoctoral researcher at Stanford Translational AI (STAI) Lab and Stanford Vision and Learning (SVL) Lab, advised by Professor Ehsan Adeli. Also, I was a postdoctoral fellow in the Robotics Institute at Carnegie Mellon University, advised by Professor Fernando de la Torre. I received my Ph.D. from the Department of Computer Science at the University of North Carolina at Chapel Hill, advised by Professor Henry Fuchs. I interned at Max Planck Institute for Informatics, and Adobe Research.

My research interests lie in the intersection field of Computer Vision and Computer Graphics, especially on the tasks of human performance capture, avatar modeling, neural rendering, and telepresence.

Contact

youngjoong.kwon [at] emory [dot] edu

Education

PhD in Computer Science, 2023

University of North Carolina at Chapel Hill, United States
BS in Computer Science, 2017

Yonsei University, Korea

Publications

Feed-forward Monocular Human Performance Capture

[ project / paper / code ]
GAS: Generative Avatar Synthesis from a Single Image

Yixing Lu, Junting Dong, Youngjoong Kwon, Qin Zhao, Bo Dai, and Fernando De la Torre

ICCV 2025

[ project / paper / code ]
Generalizable Human Gaussians for Sparse View Synthesis

Youngjoong Kwon, Baole Fang∗, Yixing Lu∗, Haoye Dong, Cheng Zhang, Francisco Vicente Carrasco, Albert Mosella-Montoro, Jianjin Xu, Shingo Takagi, Daeil Kim, Aayush Prakash, and Fernando De la Torre

ECCV 2024

[ project / paper / code ]
Bringing Telepresence to Every Desk

Shengze Wang, Ziheng Wang, Ryan Schmelzle, Liuejie Zheng, YoungJoong Kwon, Soumyadip Sengupta, Henry Fuchs

TVCG 2024

[ project / paper / code ]
DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis

Youngjoong Kwon, Lingjie Liu, Henry Fuchs, Marc Habermann, Christian Theobalt

NeurIPS 2023

[ project / paper / code ]
Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling

Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs

ICLR 2023

[ project / paper / code ]
Tailor Me: An Editing Network for Fashion Attribute Shape Manipulation

Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Vishy Swaminathan, Henry Fuchs

WACV 2022

[ paper / dataset ]
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering

Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs

NeurIPS 2021 Spotlight presentation (Acceptance: < 3.0%)

[ project / paper / code ]
Rotationally-Consistent Novel View Synthesis for Humans

Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Henry Fuchs, Vishy Swaminathan

MM 2020

[ paper / dataset ]
Rotationally-Temporally Consistent Novel-View Synthesis of Human Performance Video

Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Eunbyung Park, Vishy Swaminathan, Henry Fuchs

ECCV 2020 Spotlight presentation (Acceptance: 265/5025 ≈ 5.3%)

[ paper / dataset / code ]
Real-time Animation of Rain-wet Cloth Material

Youngjoong Kwon, Daeyong Kim, Inkwon Lee

CASA 2017

[ paper ]

Awards & Honors

Bronze Prize, 27th HumanTech Paper Award, Samsung Electronics Co., Ltd. 2022

Academic Activities

Area Chair

3DV 2026

Reviewer

CVPR, ECCV, ICCV, NeurIPS, ICML, SIGGRAPH ASIA, TOG, 3DV, VR, ICLRW

Invited Talk

Deep Representations for Affordable and Efficient Human Digitization
- The University of British Columbia (UBC), hosted by Prof. Helge Rhodin
- Max Planck Institute for Intelligent Systems (MPI-IS), hosted by Prof. Yuliang Xiu
- Stanford University, hosted by Prof. Gordon Wetzstein
- Adobe Research, hosted by Dr. Yi Zhou
- NVIDIA Research, hosted by Dr. Umar Iqbal
- Texas A&M University, hosted by Prof. Cheng Zhang
- Brown University, hosted by Prof. James Tompkin