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A deep convolutional generative adversarial network implemented in PyTorch! The project is designed to generate realistic images from random noise using the power of deep learning.
This project illus…
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## 一言でいうと
2つの画像ドメイン間の類似性、言い換えればドメインの変換関数を獲得できるかという研究。互いのドメインの変換を行うに当たり、「変換先のドメインの識別機を騙せる」ように、なおかつ「変換が元の画像をなるべく損なわないようにする」ように最適化を行う。これをDiscoGANと命名。
![image](https://cloud.githubusercontent.com/as…
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### 論文へのリンク
[[arXiv:2008.05865] DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis](https://arxiv.org/abs/2008.05865)
### 著者・所属機関
Ming Tao, Hao Tang, Songsong Wu,…
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### 論文へのリンク
[[arXiv:1711.09020] StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation](https://arxiv.org/abs/1711.09020)
### 著者・所属機関
Yunjey Choi, Minje …
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### 論文へのリンク
- [[arXiv:1612.03242] StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks](https://arxiv.org/abs/1612.03242)
### 著者・所属機関
Han Zhang, Tao …
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https://doi.org/10.1101/262501
> Recent advances have enabled gene expression profiling of single cells at lower cost. As more data is produced there is an increasing need to integrate diverse data…
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There are a few cases that I noticed while writing tests for the abbreviation-expansion detection, that the system currently does not handle. We could add these to the regression tests once we swap ou…
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On the Effectiveness of Least Squares Generative Adversarial Networks
https://arxiv.org/pdf/1712.06391.pdf
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# Abstract
Generative Adversarial Networks(GAN)은 데이터 생성에서 뛰어난 모습을 보이고 있다. 많은 영역에서 쓰이고 있지만 여전히 안정적인 학습에는 어려움이 따른다. 문제점으로는 Nash-equilibrium, internal covariate shift, mode collapse, vanishing gradient,…
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Overview
In the final lesson of Practical Deep Learning for Coders we'll study one of the most important techniques in modern architectures: the skip connection. This is most famously used in the res…