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Title: GitHub - ahpu2014/StackGAN · GitHub

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Description: Contribute to ahpu2014/StackGAN development by creating an account on GitHub.

Open Graph Description: Contribute to ahpu2014/StackGAN development by creating an account on GitHub.

X Description: Contribute to ahpu2014/StackGAN development by creating an account on GitHub.

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Reloadhttps://github.com/ahpu2014/StackGAN
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15 Commitshttps://github.com/ahpu2014/StackGAN/commits/master/
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Datahttps://github.com/ahpu2014/StackGAN/tree/master/Data
Datahttps://github.com/ahpu2014/StackGAN/tree/master/Data
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exampleshttps://github.com/ahpu2014/StackGAN/tree/master/examples
mischttps://github.com/ahpu2014/StackGAN/tree/master/misc
mischttps://github.com/ahpu2014/StackGAN/tree/master/misc
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README.mdhttps://github.com/ahpu2014/StackGAN/blob/master/README.md
README.mdhttps://github.com/ahpu2014/StackGAN/blob/master/README.md
READMEhttps://github.com/ahpu2014/StackGAN
Licensehttps://github.com/ahpu2014/StackGAN
https://github.com/ahpu2014/StackGAN#stackgan
Pytorch implementationhttps://github.com/hanzhanggit/StackGAN-Pytorch
Inception score evaluationhttps://github.com/hanzhanggit/StackGAN-inception-model
StackGAN-v2-pytorchhttps://github.com/hanzhanggit/StackGAN-v2
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networkshttps://arxiv.org/pdf/1612.03242v1.pdf
https://github.com/ahpu2014/StackGAN/blob/master/examples/framework.jpg
https://github.com/ahpu2014/StackGAN#dependencies
TensorFlow 0.12https://www.tensorflow.org/get_started/os_setup
Torchhttp://torch.ch/docs/getting-started.html#_
skip-thoughthttps://github.com/ryankiros/skip-thoughts
birdshttps://drive.google.com/open?id=0B3y_msrWZaXLT1BZdVdycDY5TEE
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reedscot/icml2016https://github.com/reedscot/icml2016
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flowershttp://www.robots.ox.ac.uk/~vgg/data/flowers/102/
herehttps://github.com/soumith/ganhacks
StackGAN for birdshttps://drive.google.com/open?id=0B3y_msrWZaXLNUNKa3BaRjAyTzQ
StackGAN for flowershttps://drive.google.com/open?id=0B3y_msrWZaXLX01FMC1JQW9vaFk
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reedscot/icml2016https://github.com/reedscot/icml2016
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https://github.com/ahpu2014/StackGAN/blob/master/examples/bird1.jpg
https://github.com/ahpu2014/StackGAN/blob/master/examples/bird2.jpg
https://github.com/ahpu2014/StackGAN/blob/master/examples/bird4.jpg
https://github.com/ahpu2014/StackGAN/blob/master/examples/bird3.jpg
youtubehttps://youtu.be/SuRyL5vhCIM
https://github.com/ahpu2014/StackGAN/blob/master/examples/flower1.jpg
https://github.com/ahpu2014/StackGAN/blob/master/examples/flower2.jpg
https://github.com/ahpu2014/StackGAN/blob/master/examples/flower3.jpg
https://github.com/ahpu2014/StackGAN/blob/master/examples/flower4.jpg
https://github.com/ahpu2014/StackGAN#citing-stackgan
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networkshttps://arxiv.org/abs/1710.10916
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networkshttps://arxiv.org/abs/1711.10485
[supplementary]https://1drv.ms/b/s!Aj4exx_cRA4ghK5-kUG-EqH7hgknUA
[code]https://github.com/taoxugit/AttnGAN
Paperhttps://arxiv.org/abs/1605.05396
Codehttps://github.com/reedscot/icml2016
Paperhttps://arxiv.org/abs/1605.05395
Codehttps://github.com/reedscot/cvpr2016
Readme https://github.com/ahpu2014/StackGAN#readme-ov-file
MIT license https://github.com/ahpu2014/StackGAN#MIT-1-ov-file
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