Sunghyun Park

According to our database, Sunghyun Park authored at least 32 papers between 2018 and 2024.

Collaborative distances:

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

2024

What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer.

Chaeyeon Chung, Sunghyun Park, Jeongho Kim, Jaegul Choo

CoRR, 2024

Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models.

Minho Park, Sunghyun Park, Jooyeol Yun, Jaegul Choo

CoRR, 2024

Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection.

Kyungjae Lee, Dasol Hwang, Sunghyun Park, Youngsoo Jang, Moontae Lee

CoRR, 2024

Enhancing Fusion-in-Decoder for Multi-Granularity Ranking.

Haeju Park, Kyungjae Lee, Sunghyun Park, Moontae Lee

Proceedings of the Workshop Information Retrieval's Role in RAG Systems (IR-RAG 2024) co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), 2024

Expression Domain Translation Network for Cross-Domain Head Reenactment.

Taewoong Kang, Jeongsik Oh, Jaeseong Lee, Sunghyun Park, Jaegul Choo

Proceedings of the IEEE International Conference on Acoustics, 2024

Stable VITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On.

Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, Jaegul Choo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection.

Dongmin Kim, Sunghyun Park, Jaegul Choo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Co-Creating Question-and-Answer Style Articles with Large Language Models for Research Promotion.

Hyunseung Lim, Ji Yong Cho, Taewan Kim, Jeongeon Park, Hyungyu Shin, Seulgi Choi, Sunghyun Park, Kyungjae Lee, Juho Kim, Moontae Lee, Hwajung Hong

Proceedings of the Designing Interactive Systems Conference, 2024

2023

StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On.

Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, Jaegul Choo

CoRR, 2023

Reference-based Image Composition with Sketch via Structure-aware Diffusion Model.

Kangyeol Kim, Sunghyun Park, Junsoo Lee, Jaegul Choo

CoRR, 2023

Improving Scene Text Recognition for Character-Level Long-Tailed Distribution.

Sunghyun Park, Sunghyo Chung, Jungsoo Lee, Jaegul Choo

CoRR, 2023

RobustSwap: A Simple yet Robust Face Swapping Model against Attribute Leakage.

Jaeseong Lee, Taewoo Kim, Sunghyun Park, Younggun Lee, Jaegul Choo

CoRR, 2023

QASA: Advanced Question Answering on Scientific Articles.

Yoonjoo Lee, Kyungjae Lee, Sunghyun Park, Dasol Hwang, Jaehyeon Kim, Hong-In Lee, Moontae Lee

Proceedings of the International Conference on Machine Learning, 2023

Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts.

Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun

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

On Complementarity Objectives for Hybrid Retrieval.

Dohyeon Lee, Seung-won Hwang, Kyungjae Lee, Seungtaek Choi, Sunghyun Park

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions.

Sangyun Lee, Gyojung Gu, Sunghyun Park, Seunghwan Choi, Jaegul Choo

Proceedings of the Computer Vision - ECCV 2022, 2022

AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment.

Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo

Proceedings of the Computer Vision - ECCV 2022, 2022

Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment.

Taewoo Kim, Chaeyeon Chung, Yoonseo Kim, Sunghyun Park, Kangyeol Kim, Jaegul Choo

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP).

Taewon Kang, Sunghyun Park, Seunghwan Choi, Jaegul Choo

CoRR, 2021

AnimeCeleb: Large-Scale Animation CelebFaces Dataset via Controllable 3D Synthetic Models.

Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo

CoRR, 2021

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, Jaegul Choo

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers.

Boseop Kim, HyoungSeok Kim, Sang-Woo Lee, Gichang Lee, Dong-Hyun Kwak, Dong Hyeon Jeon, Sunghyun Park, Sungju Kim, Seonhoon Kim, Dongpil Seo, Heungsub Lee, Minyoung Jeong, Sungjae Lee, Minsub Kim, SukHyun Ko, Seokhun Kim, Taeyong Park, Jinuk Kim, Soyoung Kang, Na-Hyeon Ryu, Kang Min Yoo, Minsuk Chang, Soobin Suh, Sookyo In, Jinseong Park, Kyungduk Kim, Hiun Kim, Jisu Jeong, Yong Goo Yeo, Donghoon Ham, Dongju Park, Min Young Lee, Jaewook Kang, Inho Kang, Jung-Woo Ha, Woo-Myoung Park, Nako Sung

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization.

Seunghwan Choi, Sunghyun Park, Minsoo Lee, Jaegul Choo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children.

Jungsoo Lee, Jooyeol Yun, Sunghyun Park, Yonggyu Kim, Jaegul Choo

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE.

Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

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, Jaegul Choo

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation.

Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Bert is Not All You Need for Commonsense Inference.

Sunghyun Park, Junsung Son, Seung-won Hwang, KyungLang Park

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Learning with Limited Data for Multilingual Reading Comprehension.

Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang, Juho Lee

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning to Focus and Track Extreme Climate Events.

Sookyung Kim, Sunghyun Park, Sunghyo Chung, Joonseok Lee, Yunsung Lee, Hyojin Kim, Prabhat, Jaegul Choo

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Paraphrase Diversification Using Counterfactual Debiasing.

Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Semi-supervised Training Data Generation for Multilingual Question Answering.

Kyungjae Lee, Kyoungho Yoon, Sunghyun Park, Seung-won Hwang

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018