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I tagged you on several commits talking about the need to support OneGAN, and the need to consolidate SevenGAN code. I think you should make a class called MegaManLevelGenerator and then extend it wit…
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Looking at the table 1 of your paper and under the column 1V-1, where you sample one trajectory and your numbers are actually potentially comparable to a Vanilla LSTM, since only in this case it is a …
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Ok, if we're going to commit to conditional GANs #538 then we need a training set for them first.
Create a cGAN training set in the following manner. Each level segment must be associated with a on…
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Hi, thanks for your great work.
Conventionally, pix2pix discriminators are conditioned on generator inputs, right? It seems your training code in version 1 only takes generated image as input to D. W…
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## 🐛 Bug
There are some minor labelling errors in the default options check in _optim/adah.h_:
```
auto betas = defaults.betas();
TORCH_CHECK(std::get(betas) >= 0, "Invalid learning …
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Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **F0-consistent many-to-many non-parallel voice conversion via conditional
autoencoder**
- summary: No…
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Hey!
I've tried recreating the steps to download the dataset, but apparently the structure of the website has changed, such that the SQL query does not return anything. Can you make the dataset avai…
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Dear all,
When I try to train a ArtefactCancelling ESRGAN model, I get some result images with strange patterns.
I put some sample images here:
![InkedHotel_Train_RRDN_x3CghzflSbJ-GAK_psAABGx…
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While training which loss should I look for to confirm whether model is actually learning or not?
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Paper: A modality conversion approach to MV-DRs and kV-DRRs registration using information bottlenecked conditional generative adversarial network
Key take away: GANs help in training with a roughl…