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I am an applied research scientist and engineer specializing in generative AI (diffusion models, GANs). I hold a Ph.D. in Computer Science from the University of Illinois, Urbana-Champaign, advised by Prof. David Forsyth, and spent three years designing and shipping generative visual-effects models at ByteDance (TikTok) — from training pipelines and datasets to production inference. I'm currently building an independent LLM-agent and knowledge-graph system for automated research synthesis.
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mjchong6 (at) gmail.com | CV | Google Scholar | Linkedin
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Copy or Not? Reference-Based Face Image Restoration with Fine Details
Min Jin Chong, Dejia Xu, Yi Zhang, Zhangyang Wang, David Forsyth, Gurunandan Krishnan, Yicheng Wu, Jian Wang
In WACV 2025.
[paper]
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Flux Already Knows — Activating Subject-Driven Image Generation without Training
Hao Kang, Stathi Fotiadis, Liming Jiang, Qing Yan, Yumin Jia, Zichuan Liu, Min Jin Chong, Xin Lu
arXiv preprint, 2025
[paper]
[code]
[project page]
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P2D: Plug and Play Discriminator for Accelerating GAN Frameworks
Min Jin Chong, Krishna Kumar Singh, Yijun Li, Jingwan Lu, David Forsyth
In WACV 2024.
[paper]
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JoJoGAN: One Shot Face Stylization
Min Jin Chong, David Forsyth
[paper]
[code]
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StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN
Min Jin Chong, Hsin-Ying Lee, David Forsyth
[paper]
[code]
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GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)
Min Jin Chong, David Forsyth
[paper]
[code]
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Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval
Min Jin Chong, Wen-Sheng Chu, Abhishek Kumar, David Forsyth
In ICCV 2021.
[paper]
[code]
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Toward Accurate and Realistic Outfits Visualization with Attention to Details
Kedan Li, Min Jin Chong, Jeffrey Zhang, Jingen Liu
In CVPR 2021.
[paper]
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Toward Accurate and Realistic Virtual Try-on Through Shape Matching and Multiple Warps
Kedan Li, Min Jin Chong, Jingen Liu, David Forsyth
[paper]
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Effectively Unbiased FID and Inception Score and where to find them
Min Jin Chong*, David Forsyth
In CVPR 2020.
[paper]
[code]
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Unrestricted Adversarial Examples via Semantic Manipulation
Anand Bhattad*, Min Jin Chong*, Kaizhao Liang, Bo Li, David Forsyth
In ICLR 2020.
[paper]
[code]
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EEG-GRAPH: A factor-graph-based model for capturing spatial, temporal, and observational relationships in electroencephalograms
Yogatheesan Varatharajah, Min Jin Chong, Krishnakant Saboo, Brent Berry, Benjamin Brinkmann, Gregory Worrell, Ravishankar Iyer
In Neurips 2017.
[paper]
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Learning Diverse Image Colorization
Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh, Min Jin Chong, David Forsyth
In CVPR 2017.
[paper]
[code]
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UIUC Fall 2015 - 2022 |
Adobe Research Summer 2022 |
Google AI Summer 2020 |
ByteDance Summer 2019, 2023 - 2026 |
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