Hacker News
- Photos from Crude Sketches: Nvidia's GauGAN Explained Visually https://adamdking.com/blog/gaugan/ 25 comments
Linking pages
Linked pages
- Taxicab geometry - Wikipedia https://en.wikipedia.org/wiki/Taxicab_geometry 34 comments
- An Intuitive Explanation of Convolutional Neural Networks – Ujjwal Karn https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/ 23 comments
- Variational Autoencoders Explained http://anotherdatum.com/vae.html 16 comments
- [1406.2661] Generative Adversarial Networks https://arxiv.org/abs/1406.2661 7 comments
- SPADE Project Page https://nvlabs.github.io/SPADE/ 1 comment
- [1701.07875] Wasserstein GAN https://arxiv.org/abs/1701.07875 0 comments
- [1611.07004] Image-to-Image Translation with Conditional Adversarial Networks https://arxiv.org/abs/1611.07004 0 comments
- CS231n Convolutional Neural Networks for Visual Recognition http://cs231n.github.io/convolutional-networks/ 0 comments
- GitHub - NVIDIA/pix2pixHD: Synthesizing and manipulating 2048x1024 images with conditional GANs https://github.com/NVIDIA/pix2pixHD 0 comments
- ProGAN: How NVIDIA Generated Images of Unprecedented Quality | by Sarah Wolf | Towards Data Science https://towardsdatascience.com/progan-how-nvidia-generated-images-of-unprecedented-quality-51c98ec2cbd2 0 comments
- [1710.10196] Progressive Growing of GANs for Improved Quality, Stability, and Variation https://arxiv.org/abs/1710.10196 0 comments
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