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Hi!
It is a great pleasure to meet an incredible work!
I appreciate your dedication to this community.
I have checked the paper and github, but it seems that there is no sample generation perform…
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I find the calculation of KL-loss is different from VAE.
Because:
latent_loss = 0.5 * tf.reduce_sum( tf.square(z_mean) + tf.square(z_stddev)
- tf.log(tf.square(z_stddev)) -…
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Hello,
Thank you so much for all your awesome work. It is really great stuff!
I have some questions about training (not answered by #2). First, if it is possible, would you be able to release y…
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Can you push the data ? and what is the data's format?
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Good job and thanks for your code. After reading, I have a question about the paper.
Can we use VAE's encoder and decode to replace AE in the pipeline, that is, can we encode Partial shape into a dis…
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Dear sir:
I don't know why you add "the feature matching loss".In your paper, you say that "We compare our final implementation to the results using (1) only GAN loss, and (2) GAN + feature m…
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VAE turns to be a quite good model when we want to generate similar yet new images. However, as our data has several patterns that is hard to capture, such as the geographical features, the delicate c…
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Hi,
I am little bit confused after reading your paper. Please correct me if I misunderstood.
In your paper, you show difference between VAE and WAE in terms of distribution matching objective
* V…
j-min updated
6 years ago
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Hello,
Do you have any insight or recommendations on trying to experiment with SDXL-Turbo ? Is there a reason beside training compute why you used 2.1 and not XL ?
Also, do you think this img2im…
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## 一言でいうと
ブラシストロークを学習させるネットワークの提案。VAEで画像の表現を学習、全結合でブラシアクションをVAE表現との対応を学習、GANでブラシアクションによる画像生成を学習、と3段階で学習を行い学習効率をあげている。生成画像のクラス分類タスクを入れることで、任意クラスの画像生成も行なっている
### 論文リンク
https://arxiv.org/abs/190…