DeSIGN: Design Inspiration from Generative Networks

ECCV Workshops, pp. 37-44, 2018.

Cited by: 23|Bibtex|Views219|DOI:https://doi.org/10.1007/978-3-030-11015-4_5
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Can an algorithm create original and compelling fashion designs to serve as an inspirational assistant? To help answer this question, we design and investigate different image generation models associated with different loss functions to boost novelty in fashion generation. The dimensions of our explorations include: (i) different Generat...More

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