Sub-GAN: An Unsupervised Generative Model via Subspaces

ECCV, pp. 726-743, 2018.

Cited by: 9|Views45
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Abstract:

The recent years have witnessed significant growth in constructing robust generative models to capture informative distributions of natural data. However, it is difficult to fully exploit the distribution of complex data, like images and videos, due to the high dimensionality of ambient space. Sequentially, how to effectively guide the tr...More

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