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researcher

Muhammed Pektas

2 papers hereh-index 13 citations3 works total

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

author position
  • first author2

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

fields
  • cs.CV1
  • cs.GR1

identity via Semantic Scholar / OpenAlex

most citedEfficient Hair Style Transfer with Generative Adversarial Networks

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2022★ 1 cited

Efficient Hair Style Transfer with Generative Adversarial Networks

Muhammed Pektas, Baris Gecer, Aybars Ugur

Despite the recent success of image generation and style transfer with Generative Adversarial Networks (GANs), hair synthesis and style transfer remain challenging due to the shape…

cs.GR2022

Realistic Hair Synthesis with Generative Adversarial Networks

Muhammed Pektas, Aybars Ugur

Recent successes in generative modeling have accelerated studies on this subject and attracted the attention of researchers. One of the most important methods used to achieve this…

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