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Nao Takano

2 papers here

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
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedSRGAN: Training Dataset Matters

15 citations · 15 across the 1 of their papers we have counts for

collaborators

2 papers

eess.IV2020

Generator From Edges: Reconstruction of Facial Images

Nao Takano, Gita Alaghband

Applications that involve supervised training require paired images. Researchers of single image super-resolution (SISR) create such images by artificially generating blurry input…

cs.CV2019★ 15 cited

SRGAN: Training Dataset Matters

Nao Takano, Gita Alaghband

Generative Adversarial Networks (GANs) in supervised settings can generate photo-realistic corresponding output from low-definition input (SRGAN). Using the architecture presented…

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