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Title: GitHub - ayansengupta17/GAN: We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS. · GitHub

Open Graph Title: GitHub - ayansengupta17/GAN: We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.

X Title: GitHub - ayansengupta17/GAN: We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.

Description: We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS. - ayansengupta17/GAN

Open Graph Description: We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS. - ayansengupta17...

X Description: We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS. - ayansengupta17...

Opengraph URL: https://github.com/ayansengupta17/GAN

X: @github

direct link

Domain: github.com

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[BESTFITTERS]Inverse Image Captioning Using Generative Adversarial Networks.pdf	https://github.com/ayansengupta17/GAN/blob/master/%5BBESTFITTERS%5DInverse%20Image%20Captioning%20Using%20Generative%20Adversarial%20Networks.pdf
[BESTFITTERS]Inverse Image Captioning Using Generative Adversarial Networks.pdf	https://github.com/ayansengupta17/GAN/blob/master/%5BBESTFITTERS%5DInverse%20Image%20Captioning%20Using%20Generative%20Adversarial%20Networks.pdf
encoder.py	https://github.com/ayansengupta17/GAN/blob/master/encoder.py
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testing_CUBS.py	https://github.com/ayansengupta17/GAN/blob/master/testing_CUBS.py
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	https://github.com/ayansengupta17/GAN#text-to-image-generation-using-generative-adversarial-networks-gans
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https://github.com/ayansengupta17/GAN	https://github.com/ayansengupta17/GAN
https://github.com/yagneshbadiyani/C2I	https://github.com/yagneshbadiyani/C2I
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	https://github.com/ayansengupta17/GAN#references
Link	https://arxiv.org/abs/1506.06726
Link	https://arxiv.org/abs/1406.2661
Link	https://arxiv.org/abs/1606.03498
Link	https://arxiv.org/abs/1605.05396
Link	https://arxiv.org/abs/1612.03242
Link	https://arxiv.org/abs/1511.06434
Link	https://arxiv.org/abs/1312.6114
Link	https://arxiv.org/abs/1502.03167
	https://github.com/ayansengupta17/GAN#other-important-resources
Ian Goodfellow: Generative Adversarial Networks (NIPS 2016 tutorial)	https://www.youtube.com/watch?v=HGYYEUSm-0Q
NIPS 2016 Workshop on Adversarial Training - Ian Goodfellow - Introduction to GANs	https://www.youtube.com/watch?v=RvgYvHyT15E
DCGAN	https://github.com/carpedm20/DCGAN-tensorflow
Skip-thought vectors	https://github.com/ryankiros/skip-thoughts
python	https://github.com/topics/python
machine-learning	https://github.com/topics/machine-learning
deep-neural-networks	https://github.com/topics/deep-neural-networks
deep-learning	https://github.com/topics/deep-learning
discriminator	https://github.com/topics/discriminator
generative-adversarial-network	https://github.com/topics/generative-adversarial-network
gan	https://github.com/topics/gan
batch-normalization	https://github.com/topics/batch-normalization
dcgan	https://github.com/topics/dcgan
sentence	https://github.com/topics/sentence
cubs	https://github.com/topics/cubs
loss-functions	https://github.com/topics/loss-functions
skip-thought-vectors	https://github.com/topics/skip-thought-vectors
text-encodings	https://github.com/topics/text-encodings
mscoco	https://github.com/topics/mscoco
mscoco-dataset	https://github.com/topics/mscoco-dataset
dcgan-tensorflow	https://github.com/topics/dcgan-tensorflow
tensrorflow	https://github.com/topics/tensrorflow
stack-gan	https://github.com/topics/stack-gan
Readme	https://github.com/ayansengupta17/GAN#readme-ov-file
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