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Young-Su Moon

2 papers hereh-index 7233 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedPerception-Oriented Single Image Super-Resolution using Optimal Objective Estimation

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2022★ 5 cited

Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation

Seung Ho Park, Young Su Moon, Nam Ik Cho

Single-image super-resolution (SISR) networks trained with perceptual and adversarial losses provide high-contrast outputs compared to those of networks trained with distortion-ori…

cs.CV2022

Flexible Style Image Super-Resolution using Conditional Objective

Seung Ho Park, Young Su Moon, Nam Ik Cho

Recent studies have significantly enhanced the performance of single-image super-resolution (SR) using convolutional neural networks (CNNs). While there can be many high-resolution…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.