I am a Ph.D. student in Computer Science at UC Berkeley, advised by Prof. Alexei Efros. I study computer vision and learning-based computational photography. I interned at Adobe in 2019, working with Richard Zhang. I interned at NVIDIA, working with Ming-Yu Liu in summer 2018. I received B.S. in Mathematics and M.S. in Computer Science, both at Stanford University. During my Master’s program, I was advised by Vladlen Koltun and Sergey Levine. I am funded by Samsung Scholarship for my Ph.D. study, and a recipient of Adobe Research Fellowship 2020.

Research

Swapping Autoencoder for Deep Image Manipulation
Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei Efros, Richard Zhang
in submission
project | paper
Contrastive Learning for Unpaired Image-to-Image Translation
Taesung Park, Alexei Efros, Richard Zhang, Jun-Yan Zhu
ECCV 2020
project | code | paper
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
CVPR 2019 (Oral) Best Paper Finalist
SIGGRAPH RTL Best of Show and Audience Choice Award
100 Greatest Innovations of 2019 by Popular Science
paper | code | project
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei Efros, Trevor Darrell
ICML 2018
paper | code
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu*, Taesung Park*, Phillip Isola, and Alexei A. Efros
ICCV 2017 (Spotlight, * indicates equal contribution)
project | PyTorch | Torch | paper
Inverse Optimal Control for Humanoid Locomotion
Taesung Park, Sergey Levine
RSS Workshop on Inverse Optimal Control & Robotic Learning from Demonstration, 2013
paper

Teaching

CS194-26 at UC Berkeley. Image Manipulation and Computational Photography. link
Fall 2018. Head TA

CS188 at UC Berkeley. Introduction to Artificial Intelligence. link
Spring 2017. TA

CS148 at Stanford. Intro to Computer Graphics and Imaging.
Summer 2012. Course Assistant.

Recorded Talks

  • CVPR 2020 Tutorial on Neural Rendering link
  • SIGGRAPH 2019 Real-Time Live! link
  • CVPR 2019 Deep Learning for Content Creation Tutorial. link
  • ISMRM 2018 Workshop on Machine Learning. link
  • CVPR 2018 Tutorial on GANs. link
  • ICCV 2017 Spotlight talk on CycleGAN link
  • ICCV 2017 Live Demo link
  • Talk at Naver (June 2017) link

Photography

I like to take short trips from campus and shoot photos of the beautiful Californian nature. You can view them here

CV

Here’s my CV