Cheng-Kang Ted Chao, 趙城綱

[GitHub] [GoogleScholar] [ORCID]

My research spans color, non-photorealistic rendering for artistic editing, and inverse modeling for editable design. Lately I have been thinking about treating perception as something a designer can control rather than only account for. I recently obtained my Ph.D. from Yotam Gingold at George Mason University, and hold an M.S. in Computational Science and Engineering from Georgia Tech and a B.S. in Mathematics from National Central University, Taiwan.

I spent two summers at Adobe Research, working with Jose Echevarria on color lookup table compression for efficient color style transfer (2021), and with Li-Yi Wei and Rubaiat Habib Kazi on vector animation for fluid simulations (2024). I also spent a summer (2023) at Tencent Pixel Lab with Ran Zhang and Changxi Zheng on editing implicit neural fields.

I am currently on the job market, seeking postdoctoral and research positions in both academia and industry. Please feel free to reach out!

CV: PDF
E-mail: tedchao850114@gmail.com

Publications

Journal Paper

ColorfulCurves: Palette-Aware Lightness Control and Color Editing via Sparse Optimization

SIGGRAPH 2023, ACM Transactions on Graphics (TOG) 42(4)
Cheng-Kang Ted Chao, Jason Klein, Jianchao Tan, Jose Echevarria, Yotam Gingold
[PDF] [Video] [Project page] [Code]

Journal Paper

LoCoPalettes: Local Control for Palette-based Image Editing

EGSR 2023, Computer Graphics Forum (CGF) 42(4)
Cheng-Kang Ted Chao, Jason Klein, Jianchao Tan, Jose Echevarria, Yotam Gingold
[PDF] [Video] [Project page] [Code]

Journal Paper

PosterChild: Blend-Aware Artistic Posterization

EGSR 2021, Computer Graphics Forum (CGF) special issue
Cheng-Kang Ted Chao, Karan Singh, Yotam Gingold
[PDF] [Presentation] [Project page] [Code]

Preprint

Text-guided Image-and-Shape Editing and Generation: A Short Survey

arXiv 2023
Cheng-Kang Ted Chao, Yotam Gingold
[arXiv]

Software

• ply-to-colmap, converts a scene in PLY format into a COLMAP dataset

Awards

• Outstanding Ph.D. Student Award, George Mason University, 2026

Teaching

• Teaching Assistant, CS 600 Theory of Computation, George Mason University, Fall 2022 and 2023
• Teaching Assistant, CS 688 Machine Learning, George Mason University, Spring 2022

Service

• Conference reviewer: SIGGRAPH, SIGGRAPH Asia, Eurographics, EGSR, Pacific Graphics
• Journal reviewer: ACM Transactions on Graphics (TOG), Computer Graphics Forum (CGF), Computer & Graphics, Scientific Reports, The Visual Computer

Misc

I enjoy taking photos. A selection lives on my Instagram (pictured →).

Last update Aug 4^th 2026.