Gayoung Lee
Hi, I am a researcher at NAVER AI Lab. I received B.S. and M.S.(Advisors : Prof. Junmo Kim and Prof. Yu-Wing Tai) at KAIST. My current research interest is improving and utilizing generative models for image creation.
Email : gayoung.lee@navercorp.com
Professional Experience
Research Scientist, NAVER AI Lab (Aug. 2020 – Present)
Research Scientist, NAVER CLOVA OCR (Sep. 2019 – Aug. 2020)
Research Scientist, NAVER WEBTOON Corp. (Aug. 2017 – Aug. 2019)
Selected Publications
StyleKeeper: Prevent Content Leakage using Negative Visual Query Guidance (ICCV 2025) [paper] [project page]
Jaeseok Jeong, Junho Kim, Gayoung Lee, Yunjey Choi, Youngjung Uh
Enhancing creative generation on stable diffusion-based models (CVPR 2025) [paper]
Jiyeon Han, Dahee Kwon, Gayoung Lee, Junho Kim, Jaesik Choi
Direct unlearning optimization for robust and safe text-to-image models (NeurIPS 2024) [paper] [project page]
Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, Junho Kim, Geonhui Jang, Yonghyun Jeong, Junghyo Jo, Gayoung Lee
3d-aware blending with generative nerfs (ICCV 2023) [paper] [project page]
Hyunsu Kim, Gayoung Lee, Yunjey Choi, Jin-Hwa Kim, Jun-Yan Zhu
Generator Knows What Discriminator Should Learn in Unconditional GANs (ECCV 2022) [paper] [project page]
Gayoung Lee, Hyunsu Kim, Junho Kim, Seonghyeon Kim, Jung-Woo Ha, Yunjey Choi
Few-shot compositional font generation with dual memory (ECCV 2020) [paper] [project page]
Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee
Unpaired Sketch-to-Line Translation via Synthesis of Sketches (Siggraph ASIA 2019, technical brief) [paper]
Gayoung Lee, Dohyun Kim, Youngjoon Yoo, Dongyoon Han, Jung-Woo Ha, Jaehyuk Chang
ELD-net: An efficient deep learning architecture for accurate saliency detection (TPAMI 2017) [paper] [project page]
Gayoung Lee, Yuwing Tai, Junmo Kim
Deep Saliency with Encoded Low level Distance Map and High Level Features (CVPR 2016) [paper] [project page]
Gayoung Lee, Yuwing Tai, Junmo Kim