Other deep learning image generation techniques besides GANs?How to combine heterogeneous image features extracted with different algorithms for similar image retrieval?Is it possible to use a feed-forward neural network to predict the actions in reinforcement learning?
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Other deep learning image generation techniques besides GANs?
How to combine heterogeneous image features extracted with different algorithms for similar image retrieval?Is it possible to use a feed-forward neural network to predict the actions in reinforcement learning?
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Can you please point me to some resources about image genereation besides GANs?
Are there any other techniques throughout history?
How did idea of image generation evolved and how it started?
I tried googling "image generation before gans" and similar alternatives but without any success.
deep-learning reference-request generative-model image-generation
edited May 30 at 21:18
nbro
4,0612827
asked May 30 at 20:29
i_rezici_rezic
284
$endgroup$
add a comment |
$begingroup$
Can you please point me to some resources about image genereation besides GANs?
Are there any other techniques throughout history?
How did idea of image generation evolved and how it started?
I tried googling "image generation before gans" and similar alternatives but without any success.
deep-learning reference-request generative-model image-generation
edited May 30 at 21:18
nbro
4,0612827
asked May 30 at 20:29
i_rezici_rezic
284
$endgroup$
add a comment |
$begingroup$
Can you please point me to some resources about image genereation besides GANs?
Are there any other techniques throughout history?
How did idea of image generation evolved and how it started?
I tried googling "image generation before gans" and similar alternatives but without any success.
deep-learning reference-request generative-model image-generation
edited May 30 at 21:18
nbro
4,0612827
asked May 30 at 20:29
i_rezici_rezic
284
$endgroup$
Can you please point me to some resources about image genereation besides GANs?
Are there any other techniques throughout history?
How did idea of image generation evolved and how it started?
I tried googling "image generation before gans" and similar alternatives but without any success.
deep-learning reference-request generative-model image-generation
deep-learning reference-request generative-model image-generation
edited May 30 at 21:18
nbro
4,0612827
asked May 30 at 20:29
i_rezici_rezic
284
edited May 30 at 21:18
nbro
4,0612827
asked May 30 at 20:29
i_rezici_rezic
284
edited May 30 at 21:18
nbro
4,0612827
edited May 30 at 21:18
nbro
4,0612827
edited May 30 at 21:18
nbro
4,0612827
4,0612827
asked May 30 at 20:29
i_rezici_rezic
284
asked May 30 at 20:29
i_rezici_rezic
284
asked May 30 at 20:29
i_rezici_rezic
284
284
add a comment |
add a comment |
1 Answer
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There are several generative models that have been proposed before or roughly at the same time of the GAN (2014). For example, the deep Boltzman machine (2009), deep generative stochastic network (2014) or variational auto-encoder (2014).
answered May 30 at 21:09
nbronbro
4,0612827
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add a comment |
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1 Answer
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$begingroup$
There are several generative models that have been proposed before or roughly at the same time of the GAN (2014). For example, the deep Boltzman machine (2009), deep generative stochastic network (2014) or variational auto-encoder (2014).
answered May 30 at 21:09
nbronbro
4,0612827
$endgroup$
add a comment |
$begingroup$
There are several generative models that have been proposed before or roughly at the same time of the GAN (2014). For example, the deep Boltzman machine (2009), deep generative stochastic network (2014) or variational auto-encoder (2014).
answered May 30 at 21:09
nbronbro
4,0612827
$endgroup$
add a comment |
$begingroup$
There are several generative models that have been proposed before or roughly at the same time of the GAN (2014). For example, the deep Boltzman machine (2009), deep generative stochastic network (2014) or variational auto-encoder (2014).
answered May 30 at 21:09
nbronbro
4,0612827
$endgroup$
There are several generative models that have been proposed before or roughly at the same time of the GAN (2014). For example, the deep Boltzman machine (2009), deep generative stochastic network (2014) or variational auto-encoder (2014).
answered May 30 at 21:09
nbronbro
4,0612827
edited May 30 at 21:11
answered May 30 at 21:09
nbronbro
4,0612827
answered May 30 at 21:09
nbronbro
4,0612827
answered May 30 at 21:09
nbronbro
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4,0612827
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