add GAN reference

Author: SDSTony

book/chapters/GAN/References.md

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+# 5. 참고 문헌
+
+## Dataset
+
+- [Victorian400 Dataset for Colorizing Victorian Illustrations](https://www.kaggle.com/elibooklover/victorian400)
+
+## Papers
+
+- [Pros and Cons of GAN Evaluation Measures](https://doi.org/10.1016/j.cviu.2018.10.009)
+- [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://arxiv.org/abs/1505.04597)
+- [Generative Adversarial Networks](https://arxiv.org/abs/1406.2661)
+- [Image-to-Image Translation with Conditional Adversarial Networks](https://arxiv.org/abs/1611.07004)
+- [Conditional Generative Adversarial Nets](https://arxiv.org/abs/1411.1784)
+- [Generative Adversarial Nets 분석과 적용사례](https://www.koreascience.or.kr/article/CFKO201736257096695.pdf)
+- [Synthesizing Obama: Learning Lip Sync from Audio](https://grail.cs.washington.edu/projects/AudioToObama/siggraph17_obama.pdf)
+- [An_Analysis_of_Evaluation_Metrics_of_GANs](https://www.researchgate.net/publication/337876790_AN_ANALYSIS_OF_EVALUATION_METRICS_OF_GANS)
+- [Progressive_Growing_of_GANs_for_Improved_Quality_Stability_and_Variation](https://arxiv.org/abs/1710.10196)
+- [Eye In-Painting with Exemplar Generative Adversarial Networks](https://arxiv.org/abs/1712.03999)
+- [Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News](https://journals.sagepub.com/doi/full/10.1177/2056305120903408)
+- [Improved Techniques For Training GANs](https://arxiv.org/abs/1606.03498)
+- [On the Evaluation of Conditional GANs](https://arxiv.org/abs/1907.08175)
+
+## Code 
+
+- [PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN/blob/master/implementations/gan/gan.py)
+- [GAN_colorization](https://github.com/hichoe95/GAN_colorization)
+- [clearing-a-subplot-in-matplotlib](https://stackoverflow.com/questions/47282918/clearing-a-subplot-in-matplotlib)
+- [row-and-column-headers-in-matplotlibs-subplots](https://stackoverflow.com/questions/25812255/row-and-column-headers-in-matplotlibs-subplots)
+- [matplotlib-subplots-get-rid-of-tick-labels-altogether](https://stackoverflow.com/questions/25124143/matplotlib-subplots-get-rid-of-tick-labels-altogether)
+- [matplotlib-imshow-stretch-to-fit-width](https://stackoverflow.com/questions/12806481/matplotlib-imshow-stretch-to-fit-width)
+
+
+## Blog
+
+
+- [쉽게 씌어진 GAN](https://dreamgonfly.github.io/blog/gan-explained/)
+- [cCAN(conditionial GAN)](https://blog.naver.com/laonple/221306150417)
+- [CGAN](https://leechamin.tistory.com/229)
+- [Best Resources for Getting Started With GANs](https://machinelearningmastery.com/resources-for-getting-started-with-generative-adversarial-networks/)
+