Gayoung Lee

According to our database, Gayoung Lee authored at least 19 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Grounding World Simulation Models in a Real-World Metropolis.

Junyoung Seo, Hyunwook Choi, Minkyung Kwon, Jinhyeok Choi, Siyoon Jin, Gayoung Lee, Junho Kim, JoungBin Lee, Geonmo Gu, Dongyoon Han, Sangdoo Yun, Seungryong Kim, Jin-Hwa Kim

CoRR, March, 2026

2025

Pygmalion Effect in Vision: Image-to-Clay Translation for Reflective Geometry Reconstruction.

Gayoung Lee, Junho Kim, Jin-Hwa Kim, Junmo Kim

CoRR, November, 2025

Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models.

Byeonghu Na, Mina Kang, Jiseok Kwak, Minsang Park, Jiwoo Shin, SeJoon Jun, Gayoung Lee, Jin-Hwa Kim, Il-Chul Moon

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Stylekeeper: Prevent Content Leakage using Negative Visual Query Guidance.

Jaeseok Jeong, Junho Kim, Gayoung Lee, Yunjey Choi, Youngjung Uh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Enhancing Creative Generation on Stable Diffusion-based Models.

Jiyeon Han, Dahee Kwon, Gayoung Lee, Junho Kim, Jaesik Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization.

Geonhui Jang, Jin-Hwa Kim, Yong-Hyun Park, Junho Kim, Gayoung Lee, Yonghyun Jeong

CoRR, 2024

Visual Style Prompting with Swapping Self-Attention.

Jaeseok Jeong, Junho Kim, Yunjey Choi, Gayoung Lee, Youngjung Uh

CoRR, 2024

Direct Unlearning Optimization for Robust and Safe Text-to-Image Models.

Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, Junho Kim, Geonhui Jang, Yonghyun Jeong, Junghyo Jo, Gayoung Lee

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models.

Tae Hong Moon, Moonseok Choi, EungGu Yun, Jongmin Yoon, Gayoung Lee, Jaewoong Cho, Juho Lee

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Sequential Data Generation with Groupwise Diffusion Process.

Sangyun Lee, Gayoung Lee, Hyunsu Kim, Junho Kim, Youngjung Uh

CoRR, 2023

3D-aware Blending with Generative NeRFs.

Hyunsu Kim, Gayoung Lee, Yunjey Choi, Jin-Hwa Kim, Jun-Yan Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Memory Efficient Patch-based Training for INR-based GANs.

Namwoo Lee, Hyunsu Kim, Gayoung Lee, Sungjoo Yoo, Yunjey Choi

CoRR, 2022

Generator Knows What Discriminator Should Learn in Unconditional GANs.

Gayoung Lee, Hyunsu Kim, Junho Kim, Seonghyeon Kim, Jung-Woo Ha, Yunjey Choi

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

RewriteNet: Realistic Scene Text Image Generation via Editing Text in Real-world Image.

Junyeop Lee, Yoonsik Kim, Seonghyeon Kim, Moonbin Yim, Seung Shin, Gayoung Lee, Sungrae Park

CoRR, 2021

2020

Few-Shot Compositional Font Generation with Dual Memory.

Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Unpaired Sketch-to-Line Translation via Synthesis of Sketches.

Gayoung Lee, Dohyun Kim, Youngjoon Yoo, Dongyoon Han, Jung-Woo Ha, Jaehyuk Chang

Proceedings of the SIGGRAPH Asia 2019 Technical Briefs, 2019

2018

ELD-Net: An Efficient Deep Learning Architecture for Accurate Saliency Detection.

Gayoung Lee, Yu-Wing Tai, Junmo Kim

IEEE Trans. Pattern Anal. Mach. Intell., 2018

2017

NSML: A Machine Learning Platform That Enables You to Focus on Your Models.

Nako Sung, Minkyu Kim, Hyunwoo Jo, Youngil Yang, Jingwoong Kim, Leonard Lausen, Youngkwan Kim, Gayoung Lee, Dong-Hyun Kwak, Jung-Woo Ha, Sunghun Kim

CoRR, 2017

2016

Deep Saliency with Encoded Low Level Distance Map and High Level Features.

Gayoung Lee, Yu-Wing Tai, Junmo Kim

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016