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最近流行のconditional GAN(条件指定の画像生成)。ある画像(イラスト)から画像(写真)を作り出す、画像翻訳ともいえるもの。特徴量比較でなく、GANの仕組みで「ペアかどうか」を真偽判定させる形で学習。少ないデータ(数百件・数時間 on GPU)でも学習可能なことを確認
https://phillipi.github.io/pix2pix/
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros Berkeley AI Research (BAIR) Laboratory University of California
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一言でいうと
最近流行のconditional GAN(条件指定の画像生成)。ある画像(イラスト)から画像(写真)を作り出す、画像翻訳ともいえるもの。特徴量比較でなく、GANの仕組みで「ペアかどうか」を真偽判定させる形で学習。少ないデータ(数百件・数時間 on GPU)でも学習可能なことを確認
論文リンク
https://phillipi.github.io/pix2pix/
著者/所属機関
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros
Berkeley AI Research (BAIR) Laboratory
University of California
概要
新規性・差分
手法
結果
コメント
The text was updated successfully, but these errors were encountered: