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Generative Adversarial Networks have been used for the task of image generation and has achieved impressive results. There is always a challenge to train networks that generate large scale images since they tend to be huge and training needs a lot of data. In this work, we tackle this problem by div...
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| Format: | Thesis |
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AUC Knowledge Fountain
2019
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