Here is some reading material that might be relevant for this competition. Please add/share anything that might be useful or relevant :)
\nSource: A Beginner's Guide to Generative Adversarial Networks (GANs)
", "messages": [ { "id": "989596", "postDate": "08/29/2020 00:21:29", "content": "Here is some reading material that might be relevant for this competition. Please add/share anything that might be useful or relevant :)
\nSource: A Beginner's Guide to Generative Adversarial Networks (GANs)
", "rawMarkdown": "Here is some reading material that might be relevant for this competition. Please add/share anything that might be useful or relevant :)\n\n### Resources for Generative Networks\n\n- [“Generative Learning algorithms” - Andrew Ng’s Stanford notes](http://cs229.stanford.edu/notes/cs229-notes2.pdf)\n- [On Discriminative vs. Generative classifiers: A comparison of logistic regression and naive Bayes, by Andrew Ng and Michael I. Jordan](http://papers.nips.cc/paper/2020-on-discriminative-vs-generative-classifiers-a-comparison-of-logistic-regression-and-naive-bayes.pdf)\n- [The Math Behind Generative Adversarial Networks](https://lilianweng.github.io/lil-log/2017/08/20/from-GAN-to-WGAN.html)\n- [A Style-Based Generator Architecture for Generative Adversarial Networks, Code – Examples of StyleGAN in action: Faces, Anime, Art – Description of the StyleGAN architecture](https://arxiv.org/abs/1812.04948)\n- [Automatic feature engineering using Generative Adversarial Networks with Deeplearning4j & Spark](https://github.com/hamaadshah/gan_deeplearning4j)\n- [Generating Diverse High-Fidelity Images with VQ-VAE-2](https://arxiv.org/pdf/1906.00446.pdf)\n\n### GAN Use Cases\n- [Text to Image Generation](https://arxiv.org/abs/1605.05396)\n- [Image to Image Translation](https://arxiv.org/abs/1611.07004)\n- [Increasing Image Resolution](https://arxiv.org/abs/1609.04802)\n- [Predicting Next Video Frame](https://arxiv.org/abs/1511.06380)\n\n### Notable Papers on GANs\n\n- **Generative Adversarial Nets** [Paper](https://arxiv.org/abs/1406.2661) [Code](https://github.com/goodfeli/adversarial)(Ian Goodfellow’s breakthrough paper)\n- [GAN Hacks: How to Train a GAN? Tips and tricks to make GANs work](https://github.com/soumith/ganhacks)\n\n### Tutorials\n\n- [ICCV 2017 Tutorial About GANS](https://sites.google.com/view/iccv-2017-gans/schedule)\n\nThanks for sharing. Appreciate it.
", "rawMarkdown": "Thanks for sharing. Appreciate it.", "votes": null }, { "id": "997795", "postDate": "09/04/2020 08:47:35", "content": "Thank you for these well informative resources @jesucristo and @parmarsuraj99 😃!
", "rawMarkdown": "Thank you for these well informative resources @jesucristo and @parmarsuraj99 😃!", "votes": null }, { "id": "1013171", "postDate": "09/16/2020 14:44:34", "content": "Check this as well :
\nhttps://hardikbansal.github.io/CycleGANBlog/
\nIt provides a delightful light introduction to Cycle GANs.
", "rawMarkdown": "Check this as well :\n\n**https://hardikbansal.github.io/CycleGANBlog/**\n\nIt provides a delightful light introduction to Cycle GANs.", "votes": null }, { "id": "1140657", "postDate": "01/06/2021 07:02:35", "content": "Thank you for sharing the links @jesucristo.
\nHere are two more resources I would like to add:
\nThanks for sharing. Appreciate it.
", "votes": null, "replies": [] }, { "id": 997795, "author_name": "parmarsuraj99", "author_url": "", "post_date": "09/04/2020 08:47:35", "content": "Thank you for these well informative resources @jesucristo and @parmarsuraj99 😃!
", "votes": null, "replies": [] }, { "id": 1013171, "author_name": "fireheart7", "author_url": "", "post_date": "09/16/2020 14:44:34", "content": "Check this as well :
\nhttps://hardikbansal.github.io/CycleGANBlog/
\nIt provides a delightful light introduction to Cycle GANs.
", "votes": null, "replies": [] }, { "id": 1140657, "author_name": "ayuraj", "author_url": "", "post_date": "01/06/2021 07:02:35", "content": "Thank you for sharing the links @jesucristo.
\nHere are two more resources I would like to add:
\n