ProfessorsProfessors of Seoul National UniversitySanghyun Son

Sanghyun Son

Seoul National University

H-index: 17

Asia-South Korea

About Sanghyun Son

Sanghyun Son, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Seoul National University, specializes in the field of Computer vision, Low-level vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

ICF-SRSR: Invertible scale-Conditional Function for Self-Supervised Real-world Single Image Super-Resolution

Content-aware local gan for photo-realistic super-resolution

Cvf-sid: Cyclic multi-variate function for self-supervised image denoising by disentangling noise from image

Ap-bsn: Self-supervised denoising for real-world images via asymmetric pd and blind-spot network

NTIRE 2021 challenge on video super-resolution

Toward real-world super-resolution via adaptive downsampling models

Srwarp: Generalized image super-resolution under arbitrary transformation

Clean images are hard to reblur: Exploiting the ill-posed inverse task for dynamic scene deblurring

Sanghyun Son Information

University	Seoul National University
Position	Department of Electrical and Computer Engineering
Citations(all)	8685
Citations(since 2020)	8296
Cited By	3056
hIndex(all)	17
hIndex(since 2020)	17
i10Index(all)	18
i10Index(since 2020)	18
Email	Access Email
University Profile Page	Seoul National University
Google Scholar	View Google Scholar Profile

Sanghyun Son Skills & Research Interests

Computer vision

Low-level vision

Top articles of Sanghyun Son

Title	Journal	Author(s)	Publication Date
ICF-SRSR: Invertible scale-Conditional Function for Self-Supervised Real-world Single Image Super-Resolution	Proceedings of the EEE/CVF Winter Conference on Applications of Computer Vision (WACV)	Reyhaneh Neshatavar* Mohsen Yavartanoo* Sanghyun Son Kyoung Mu Lee	2024
Content-aware local gan for photo-realistic super-resolution		JoonKyu Park Sanghyun Son Kyoung Mu Lee	2023
Cvf-sid: Cyclic multi-variate function for self-supervised image denoising by disentangling noise from image		Reyhaneh Neshatavar* Mohsen Yavartanoo* Sanghyun Son Kyoung Mu Lee	2022
Ap-bsn: Self-supervised denoising for real-world images via asymmetric pd and blind-spot network		Wooseok Lee Sanghyun Son Kyoung Mu Lee	2022
NTIRE 2021 challenge on video super-resolution	The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops	Sanghyun Son Suyoung Lee Seungjun Nah Radu Timofte Kyoung Mu Lee ...	2021/6
Toward real-world super-resolution via adaptive downsampling models	IEEE transactions on pattern analysis and machine intelligence	Sanghyun Son Jaeha Kim Wei-Sheng Lai Ming-Hsuan Yang Kyoung Mu Lee	2021/8/24
Srwarp: Generalized image super-resolution under arbitrary transformation		Sanghyun Son Kyoung Mu Lee	2021
Clean images are hard to reblur: Exploiting the ill-posed inverse task for dynamic scene deblurring		Seungjun Nah Sanghyun Son Jaerin Lee Kyoung Mu Lee	2022/4/25
Image Super-Resolution		Sanghyun Son Kyoung Mu Lee	2021/2/10
C2n: Practical generative noise modeling for real-world denoising		Geonwoon Jang Wooseok Lee Sanghyun Son Kyoung Mu Lee	2021
NTIRE 2021 challenge on image deblurring		Seungjun Nah Sanghyun Son Suyoung Lee Radu Timofte Kyoung Mu Lee ...	2021
AIM 2020 challenge on video temporal super-resolution		Sanghyun Son Jaerin Lee Seungjun Nah Radu Timofte Kyoung Mu Lee ...	2020
Ntire 2020 challenge on image and video deblurring		Seungjun Nah Sanghyun Son Radu Timofte Kyoung Mu Lee	2020