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Visual Computing Center
VCC
Visual Computing Center
texture synthesis
Latent Space Manipulation of GANs for Seamless Image Compositing
Anna Fruehstueck, Ph.D., Computer Science
Apr 17, 17:30
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18:30
B5 L5 R5220
Generative Adversarial Networks
image synthesis
texture synthesis
Generative Adversarial Networks (GANs) are a very successful method for high-quality image synthesis and are a powerful tool to generate realistic images by learning their visual properties from a dataset of exemplars. However, the controllability of the generator output still poses many challenges. In this thesis, we propose several methods for achieving larger and/or higher visual quality in GAN outputs by combining latent space manipulations with image compositing operations
