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Learning to Synthesize Fashion Textures
[article]
2019
arXiv
pre-print
Existing unconditional generative models mainly focus on modeling general objects, such as faces and indoor scenes. Fashion textures, another important type of visual elements around us, have not been extensively studied. In this work, we propose an effective generative model for fashion textures and also comprehensively investigate the key components involved: internal representation, latent space sampling and the generator architecture. We use Gram matrix as a suitable internal representation
arXiv:1911.07472v1
fatcat:6vyr2ih6bfce3c4v2of5au6c2a