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S. Kim

4 papers hereh-index 4179 citations7 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • S. Kim — 277 papers
  • S. Kim — 172 papers, h 66
  • S. Kim — 110 papers
  • S. Kim — 92 papers, h 19
  • S. Kim — 88 papers, h 51
  • S. Kim — 77 papers, h 77

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedGAN Inversion for Out-of-Range Images with Geometric Transformations

3 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022

DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple Domains

Seongtae Kim, Kyoungkook Kang, Geonung Kim +2

Few-shot domain adaptation to multiple domains aims to learn a complex image distribution across multiple domains from a few training images. A naïve solution here is to train a se…

cs.CV2022

BigColor: Colorization using a Generative Color Prior for Natural Images

Geonung Kim, Kyoungkook Kang, Seongtae Kim +5

For realistic and vivid colorization, generative priors have recently been exploited. However, such generative priors often fail for in-the-wild complex images due to their limited…

cs.CV2021

Camera Motion Agnostic 3D Human Pose Estimation

Seong Hyun Kim, Sunwon Jeong, Sungbum Park +1

Although the performance of 3D human pose and shape estimation methods has improved significantly in recent years, existing approaches typically generate 3D poses defined in camera…

cs.CV2021★ 3 cited

GAN Inversion for Out-of-Range Images with Geometric Transformations

Kyoungkook Kang, Seongtae Kim, Sunghyun Cho

For successful semantic editing of real images, it is critical for a GAN inversion method to find an in-domain latent code that aligns with the domain of a pre-trained GAN model. U…

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