Younghyun Jo

Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation

Seoung Wug Oh, Seon Joo Kim, Younghyun Jo, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning the Loss Functions in a Discriminative Space for Video Restoration pdf

Peter Vajda, Seonghyeon Nam, Seoung Wug Oh, 2020, ArXiv.

Investigating Loss Functions for Extreme Super-Resolution

Seon Joo Kim, Younghyun Jo, Sejong Yang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Deep Space-Time Video Upsampling Networks

Peter Vajda, Seoung Wug Oh, Seon Joo Kim, 2020, ECCV.

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results

Yandong Guo, Jaihyun Park, Tong Yang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

SRFlow-DA: Super-Resolution Using Normalizing Flow with Deep Convolutional Block

Younghyun Jo, Sejong Yang, Seon Joo Kim, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Supplementary: Tackling the Ill-Posedness of Super-Resolution through Adaptive Target Generation

Peter Vajda, Seoung Wug Oh, Younghyun Jo, 2021 .

NTIRE 2021 Learning the Super-Resolution Space Challenge

Kun Gao, Radu Timofte, Yifan Zhang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).