Papers with VICTR

1 papers
VICTR: Visual Information Captured Text Representation for Text-to-Vision Multimodal Tasks (2020.coling-main)

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Challenge: Existing text-to-image generation models focus on generating high resolution images and neglect understanding text descriptions.
Approach: They propose a visual contextual text representation which captures rich visual semantic information of objects from text input.
Outcome: The proposed visual contextual text representation improves on the state-of-the-art models.

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