-
The progressive growing GAN paper from NVIDIA is probably the breakout GAN paper of the year. It would be cool to have a DeepChem implementation.
http://research.nvidia.com/publication/2017-10_Prog…
-
I've been using TorchGAN to train the global generator/discriminator of pix2pixHD and got great results. I wonder if it's supported to load the pre-trained global models, add local enhancer layers on …
-
Do you have any plans for progressive growing of conditional gans, whose input will be image, and then we pass it through an encoder and we can regard it as normal gan whose input is noise.
-
Hello, I want to ask some questions about the paper , he said that training will experience four stages in the process, I want to ask how long is the training in each stage is over
-
They officially recently ported this in tensorflow, results are 1024*1024 photorealistics images.
[paper (nvidia research)](http://research.nvidia.com/publication/2017-10_Progressive-Growing-of)
…
-
-
### 論文へのリンク
[[arXiv:1710.10196] Progressive Growing of GANs for Improved Quality, Stability, and Variation](https://arxiv.org/abs/1710.10196)
### 著者・所属機関
Tero Karras, Timo Aila, Samuli Laine,…
-
## 一言でいうと
GANによる画像生成で、高解像度の生成を実現する新しい学習方法を提案。最初は低解像度・少ないレイヤで学習していき、徐々に高解像度・深いネットワークにしていく。
![image](https://user-images.githubusercontent.com/544269/32131514-f67fc78c-bbea-11e7-81d9-c2965b54de06.…
-
This code doesn't seem to have any instructions about the reproduction of the paper "PSA-GAN Progressive Self-attention GANs for synthetic time series"?
-
https://github.com/facebookresearch/pytorch_GAN_zoo/blob/382a96816f65235d2467b4d13ca4c4ed587f874a/models/networks/progressive_conv_net.py#L345
Should this line be `mergeLayer = self.alpha > 0 and l…