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### 論文へのリンク
[[arXiv:1711.11585] High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs](https://arxiv.org/abs/1711.11585)
### 著者・所属機関
Ting-Chun Wang, Ming-Yu Liu, Jun…
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https://arxiv.org/abs/1706.02633
> Generative Adversarial Networks (GANs) have shown remarkable success as a framework for training models to produce realistic-looking data. In this work, we propos…
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Hi,
I couldn't figure out from the Readme.md and
https://github.com/zalandoresearch/disentangling_conditional_gans/blob/03d5101ba63ed223d310e42584545bb1d53077e0/dataset.py#L89
about how the l…
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We have been exploring SimCLR as an auxiliary loss, but one could also just train SimCLR *directly*, skipping GANs entirely. One could probably use the official Google codebase, which already has TPU …
gwern updated
10 months ago
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https://arxiv.org/abs/1711.11585
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I implemented RGAN and RCGAN from [1]. Would it make sense to add it to `torchgan.models`?
[1] [Esteban, Cristóbal, Stephanie L. Hyland, and Gunnar Rätsch. "Real-valued (medical) time series genera…
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Hi, would it be possible to use the code for anomaly detection ? I'm interested in applying the conditional normalizing flows model for this in the framework of detecting gravitational waves and compa…
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Hi, thank you for sharing the repo.
I'm trying to replicate the spectra reported in Figure 7 by following the steps in Sec 4.6 (below), but am not seeing as vibrant patterns as in the Figure.
…
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you wrote in paper
Our proposed architecture and method outperforms existing models.
can you share links to such other code projects pls simulate tabular categorical data