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@@ -34,6 +34,7 @@ Please feel free to [pull requests](https://github.com/kjw0612/awesome-deep-visi
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- [Image Captioning](#image-captioning)
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- [Video Captioning](#video-captioning)
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- [Question Answering](#question-answering)
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+- [Image Generation](#image-generation)
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- [Other Topics](#other-topics)
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- [Courses](#courses)
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- [Books](#books)
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@@ -317,7 +318,7 @@ Please feel free to [pull requests](https://github.com/kjw0612/awesome-deep-visi
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* Harrison Edwards, Amos Storkey, "Censoring Representations with an Adversary", ICLR 2016, [[Paper](http://arxiv.org/pdf/1511.05897v3.pdf)]
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* Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Ken Nakae, Shin Ishii, "Distributional Smoothing with Virtual Adversarial Training", ICLR 2016, [[Paper](http://arxiv.org/pdf/1507.00677v8.pdf)]
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* Mixing Convolutional and Adversarial Networks
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- * Alec Radford, Luke Metz, Soumith Chintala, "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks", ICLR 2016. [[Paper](http://arxiv.org/abs/1511.06434)]
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+ * Alec Radford, Luke Metz, Soumith Chintala, "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks", ICLR 2016. [[Paper](http://arxiv.org/pdf/1511.06434v2.pdf)]
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### Other Topics
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* Visual Analogy [[Paper](https://web.eecs.umich.edu/~honglak/nips2015-analogy.pdf)]
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