A huge fan of putting this in papers (from the BigGAN paper https://t.co/HCcLIPMSZ4) pic.twitter.com/1IxLJZML4Q
— James Bradbury (@jekbradbury) September 29, 2018
A huge fan of putting this in papers (from the BigGAN paper https://t.co/HCcLIPMSZ4) pic.twitter.com/1IxLJZML4Q
— James Bradbury (@jekbradbury) September 29, 2018
The BigGAN generators from our paper https://t.co/QUYlE9IBsE are now available on TF Hub (https://t.co/GHM9pIgQPw). Try the Colab demo at: https://t.co/Ynyb9T9AAD
— DeepMind (@DeepMindAI) November 12, 2018
BigGAN is on TF Hub! https://t.co/k5tc8Cy2eX https://t.co/TfLdQ6DJjV
— hardmaru (@hardmaru) November 12, 2018
Rough price to train one #bigGAN model if using GCP cloud services. https://t.co/KkVNbXsxUE
— Jack Clark (@jackclarkSF) November 22, 2018
Hypothesis: whatever your aesthetic, it's somewhere in the multidimensional space of #BigGAN. Challenge: Use @_joelsimon's https://t.co/SdupSc3x77 to find yours. #GANpunk pic.twitter.com/aFJtw8P0dy
— Janelle Shane (@JanelleCShane) November 26, 2018
BigGanEx Notebook
— Zaid Alyafeai (زيد اليافعي ) (@zaidalyafeai) November 27, 2018
An introduction to BigGans, latent space and the truncation trick. Moreover, some cool experiments are introduced. Thanks to @ajmooch for helping with some concepts. https://t.co/iA0yeRDwxD