DualStyleGAN | MMLab@NTU

Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer CVPR 2022 Paper Abstract Recent studies on StyleGAN show high performance on artistic portrait generation by transfer learning with limited data. In this paper, we explore more challenging exemplar-based high-resolution portrait style transfer by introducing a novel DualStyleGAN with flexible control of dual styles of the orig

[nikutaiha]

style,gan

[misshiki]

論文“元の顔ドメインと拡張された芸術的なポートレートドメインのデュアルスタイルを柔軟に制御できる新しいDualStyleGANを紹介”