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Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing

By Liuqing Zhao and others
Sentence-based Image Editing (SIE) aims to deploy natural language to edit an image. Offering potentials to reduce expensive manual editing, SIE has attracted much interest recently. However, existing methods can hardly produce accurate editing and even lead to failures in attribute editing when the query sentence is with multiple editable... Show more
October 21, 2021
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Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing
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