USAR: an Interactive User-specific Aesthetic Ranking Framework for Images

3 May 2018Pei LvMeng WangYongbo XuZe PengJunyi SunShimei SuBing ZhouMingliang Xu

When assessing whether an image is of high or low quality, it is indispensable to take personal preference into account. Existing aesthetic models lay emphasis on hand-crafted features or deep features commonly shared by high quality images, but with limited or no consideration for personal preference and user interaction... (read more)

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