MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans
Shubhankar Borse, Seokeon Choi, Sunghyun Park, Jeongho Kim, Shreya Kadambi, Risheek Garrepalli, Sungrack Yun, Munawar Hayat, and Fatih Porikli
Neural Information Processing Systems (NeurIPS), 2025, San Diego, Accepted.
[Paper] [Code & Dataset]

Memory-Efficient Personalization of Text-to-Image Diffusion Models via Selective Optimization Strategies
Seokeon Choi*, Sunghyun Park*, Hyoungwoo Park, Jeongho Kim, and Sungrack Yun
International Conference on Computer Vision (ICCV) LIMIT Workshop, 2025, Honolulu, Hawaii, Accepted as Oral Presentation.
Best Paper Award, ICCV 2025 LIMIT Workshop.
[Paper]

Steering Guidance for Personalized Text-to-Image Diffusion Models
Sunghyun Park*, Seokeon Choi*, Hyoungwoo Park, and Sungrack Yun
International Conference on Computer Vision (ICCV), 2025, Honolulu, Hawaii, Accepted.
[Paper]

Understanding Personal Concept in Open-Vocabulary Semantic Segmentation
Sunghyun Park*, Jungsoo Lee*, Shubhankar Borse, Munawar Hayat, Sungha Choi, Kyuwoong Hwang, and Fatih Porikli
International Conference on Computer Vision (ICCV), 2025, Honolulu, Hawaii, Accepted.
[Paper]

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask
Jeongho Kim*, Hoiyeong Jin*, Sunghyun Park, and Jaegul Choo
International Conference on Computer Vision (ICCV), 2025, Honolulu, Hawaii, Accepted.
[Paper] [Code]

What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer
Chaeyeon Chung, Sunghyun Park, Jeongho Kim, and Jaegul Choo
AAAI Conference on Artificial Intelligence (AAAI), 2025, Philadelphia, Accepted.
[Paper] [Code]

StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, and Jaegul Choo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Seattle, Accepted
[Paper] [Project] [Code]

Balanced Learning for Multi-Domain Long-tailed Speaker Recognition
Janghoon Cho*, Sunghyun Park*, Hyunsin Park, Hyoungwoo Park, Seunghan Yang, and Sungrack Yun
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024, Seoul, Accepted
[Paper]

Expression Domain Translation Network for Cross-domain Head Reenactment
Taewoong Kang*, Jeongsik Oh*, Jaeseong Lee, Sunghyun Park, and Jaegul Choo
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024, Seoul, Accepted
[Paper] [Project] [Code]

When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection
Dongmin Kim, Sunghyun Park, and Jaegul Choo
AAAI Conference on Artificial Intelligence (AAAI), 2024, Vancouver, Accepted.
[Paper]

Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts
Sunghyun Park, Seunghan Yang, Jaegul Choo, and Sungrack Yun
International Conference on Computer Vision (ICCV), 2023, Paris, Accepted.
[Paper]

Reference-based Image Composition with Sketch via Structure-aware Diffusion Model
Kangyeol Kim, Sunghyun Park, Junsoo Lee, and Jaegul Choo
CVPR Workshop on AI for Content Creation, 2023.
[Paper] [Code]

AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment
Kangyeol Kim*, Sunghyun Park*, Jaeseong Lee*, Sunghyo Chung, Junsoo Lee, and Jaegul Choo
European Conference on Computer Vision (ECCV), 2022, Tel Aviv, Accepted
Best Paper Award, Korean Artificial Intelligence Association 2022.
[Paper] [Code & Dataset]

High-Resolution Virtual Try-On width Misalignment and Occlusion-Handled Conditions
SangYun Lee*, Gyojung Gu*, Sunghyun Park, Seunghwan Choi, and Jaegul Choo
European Conference on Computer Vision (ECCV), 2022, Tel Aviv, Accepted
[Paper] [Code]

Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment
Chaeyeon Chung*, Taewoo Kim*, Yoonseo Kim*, Sunghyun Park, Kangyeol Kim, and Jaegul Choo
European Conference on Computer Vision (ECCV), 2022, Tel Aviv, Accepted
[Paper]

HairFIT: Pose-invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-region-aware Inpainting
Chaeyeon Chung*, Taewoo Kim*, Hyelin Nam*, Seunghwan Choi, Gyojung Gu, Sunghyun Park, and Jaegul Choo
British Machine Vision Conference (BMVC), 2021, Virtual, Accepted as Oral Presentation.
Best Paper Award, Korean Artificial Intelligence Association 2021.
[Paper]

Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE
Kangyeol Kim*, Sunghyun Park*, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, and Edward Choi
British Machine Vision Conference (BMVC), 2021, Virtual, Accepted.
[Paper]

Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children
Jungsoo Lee*, Jooyeol Yun*, Sunghyun Park, Yonggyu Kim, and Jaegul Choo
British Machine Vision Conference (BMVC), 2021, Virtual, Accepted.
[Paper] [Code]

K-Hairstyle: A Large-scale Korean Hairstyle Dataset for Virtual Hair Editing and Hairstyle Classification
Taewoo Kim*, Chaeyeon Chung*, Sunghyun Park*, Gyojung Gu, Keonmin Nam, Wonzo Choe, Jaesung Lee and Jaegul Choo
IEEE International Conference on Image Processing (ICIP), 2021, Virtual, Accepted.
[Paper] [Project & Dataset] [News]

VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization
Seunghwan Choi*, Sunghyun Park*, Minsoo Lee*, and Jaegul Choo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, Virtual, Accepted (27% acceptance rate).
[Paper] [Project] [Code & Dataset] [PPT]

Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
Sunghyun Park*, Kangyeol Kim*, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, and Edward Choi
AAAI Conference on Artificial Intelligence (AAAI), 2021, Virtual, Accepted (21% acceptance rate).
Qualcomm Innovation Fellowship Korea 2021.
[Paper] [Project] [Code & Dataset] [PPT]

Hurricane Nowcasting with Irregular Time-step using Neural-ODE and Video Prediction
Sunghyun Park*, Kangyeol Kim*, Sookyung Kim*, Joonseok Lee, Junsoo Lee, Jiwoo Lee, and Jaegul Choo
International Conference on Learning Representations Workshop (ICLRW), 2020, Accepted as Spotlight Presentation.
[Paper]

PP-VTON: Pose-Preserving Image-based Virtual Try-On Network
Sunghyun Park* and Seunghwan Choi*
Korea Software Congress (KSC), 2019, Pyeongchang, Korea, Accepted.
[Paper]

Learning to Focus and Track Extreme Climate Events
Sookyung Kim*, Sunghyun Park*, Sunghyo Chung*, Joonseok Lee, Yunsung Lee, Hyojin Kim, Mr Prabhat, and Jaegul Choo
British Machine Vision Conference (BMVC), 2019, Cardiff, UK, Accepted as Spotlight Presentation (6.9% acceptance rate for spotlight papers).
ICML 2019 Workshop Climate Change, 2019, California, USA, Accepted.
NIPS 2019 Workshop Tackling Climate Change, 2019, Vancouver, Canada, Accepted.
[Paper]

Improving Scene Text Recognition for Character-Level Long-Tailed Distribution
Sunghyun Park*, Sunghyo Chung*, Jungsoo Lee, and Jaegul Choo
Under Review
[Paper] [Code]

RobustSwap: A Simple yet Robust Face Swapping Model against Attribute Leakage
Jaeseong Lee*, Taewoo Kim*, Sunghyun Park, Younggun Lee, and Jaegul Choo
Under Review
[Paper] [Project]