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[GANAX: A UnifiedMIMD-SIMD Acceleration for Generative Adversarial Networks](https://arxiv.org/pdf/1806.01107.pdf)
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## 一言でいうと
Style Transferを利用した画像生成の提案。潜在表現から直接生成せずに、一旦学習済みのネットワークでスタイルベクトルに変換する。その後、スタイルベクトルとノイズを畳み込み処理のブロックに都度入力することで生成を行う。
![image](https://user-images.githubusercontent.com/544269/49977200-bc9…
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https://arxiv.org/pdf/1511.06434.pdf
In recent years, supervised learning with convolutional networks (CNNs) has seen huge adoption in computer vision applications. Comparatively, unsupervised lear…
leo-p updated
7 years ago
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https://arxiv.org/pdf/1704.01705v1.pdf
Visual Domain adaptation is an actively researched problem in Computer Vision. In this work, we propose an approach that leverages unsupervised data to bring …
leo-p updated
7 years ago
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Handwritten Digits Generator - DCGAN (Generative Adversarial Network)
:red_circle: **Aim** : The goal…
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# A Style-Based Generator Architecture for Generative Adversarial Networks #
- Author: Tero Karras, Samuli Laine, Timo Aila
- Origin: https://arxiv.org/abs/1812.04948v1
- Related:
- https://ww…
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https://arxiv.org/abs/1710.10916
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https://arxiv.org/abs/1812.04948
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# Data Augmentation in Emotion Classification Using Generative Adversarial Networks #
- Author: Xinyue Zhu, Yifan Liu, Zengchang Qin, Jiahong Li
- Origin: https://arxiv.org/abs/1711.00648
- Relat…
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https://arxiv.org/abs/1511.06434
https://hyeongminlee.github.io/post/gan003_dcgan/
https://github.com/HyeongminLEE/Tensorflow_DCGAN
http://jaejunyoo.blogspot.com/2017/02/deep-convolutional-gan-dcga…