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> - “In more uncommon cases in which institutional policies do not permit the sharing of
derived data sets, synthetic data containing the same statistical properties can be generated and shared freel…
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# GANs | Sharan’s Blog
Tensorflow implementation of Generative Adversarial Networks
[https://sharanbabu19.github.io/sharan19/gans/mnist/tensorflow/2020/10/01/Generative-Adversarial-Networks.html](ht…
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### Team Name:
QLords
### Project Description:
We implement a quantum generative adversarial network on stock market data. The generator takes as an input 32 data points of stock market dat…
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### 論文へのリンク
[[arXiv:1903.05628] Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis](https://arxiv.org/abs/1903.05628)
### 著者・所属機関
Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, S…
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## 論文へのリンク
[[arXiv:2002.12655] A U-Net Based Discriminator for Generative Adversarial Networks](https://arxiv.org/abs/2002.12655)
## 著者・所属機関
Edgar Schönfeld, Bernt Schiele, Anna Khoreva
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### 論文へのリンク
[[arXiv:2002.05638] GANILLA: Generative Adversarial Networks for Image to Illustration Translation](https://arxiv.org/abs/2002.05638)
### 著者・所属機関
Samet Hicsonmez, Nermin Samet, Em…
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## 一言でいうと
GANによる生成過程において、どのユニットがどのクラス(ドアや木)の生成に寄与しているかを解析する手法を提案。ユニットの生成結果(特徴マップ)のヒートマップと画像のセグメンテーションのオーバーラップ(IoU)を比較し特定を行う。これを応用した生成(対象クラスを出し入れする)も行なっている
![image](https://user-images.githubuser…
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大佬，什么时候上传新论文的代码，Generative Listener EEG for Speech Emotion Recognition Using Generative Adversarial Networks With Compressed Sensing
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None of these are necessary, I'm just listing them to keep track of all the possible small-ish changes that might improve performance or reduce the need for resources:
Normalizations:
- [ ] [Bat…