Adobe, Inc.

Sopan Khosla

Niyati Himanshu Chhaya

Hyman Chung

Sharmila Reddy Nangi

Harshit Nyati

Nikhil Kaushik

A text style transfer system is described that generates different stylized versions of input text by rewriting the input text according to a target style. To do so, the text style transfer system employs a variational autoencoder to derive separate content and style representations for the input text, where the content representation specifies semantic information conveyed by the input text and the style representation specifies one or more style attributes expressed by the input text. The style representation using counterfactual reasoning to identify different transfer strengths for applying the target style to the input text. Each transfer strength represents a minimum change to the input text that achieves a different expression of the target style. The transfer strengths are then used to generate style representation variants, which are each concatenated with the content representation of the input text to generate the plurality of different stylized versions of the input text.

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Pittsburgh, PA, United States of America

Sopan Khosla