| Summary: | 碩士 === 國立清華大學 === 電機工程學系所 === 107 === Recently, consumer’s shopping space transfers from physical store to online shopping websites. How to let consumers search the products they really want in a short time is important. Especially in single category like, shoes, jacket …, only using the texts can’t search the ideal products efficiently. Texts only describe the attributes of the product like, materials or class, it is hard to search the special shape product or some products which contain adornments on the surface through using texts only. If we can fuse another simple information from consumers like sketch image to replenish the lack of texts to promote the products which more fit the consumers’ requirements, it would reduce the searching time greatly.
In this thesis, we combine texts which describe the attributes of the product and sketch which describes the details of the architecture. We use conditional generative adversarial network to generate the color image that fits the attributes and sketch and use one of the discriminator layers as the feature representation to perform the image retrieval.
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