Emojich -- zero-shot emoji generation using Russian language: a technical report

• URL: http://arxiv.org/abs/2112.02448v1
• Date: Sat, 4 Dec 2021 23:37:32 GMT
• Title: Emojich -- zero-shot emoji generation using Russian language: a technical report
• Authors: Alex Shonenkov (1 and 2), Daria Bakshandaeva (1), Denis Dimitrov (1), Aleksandr Nikolich (1) ((1) Sber AI, (2) MIPT)
• Abstract summary: "Emojich" is a text-to-image neural network that generates emojis using captions in Russian language as a condition. We aim to keep the generalization ability of a pretrained big model ruDALL-E Malevich (XL) 1.3B parameters at the fine-tuning stage.
• Score: 52.77024349608834
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This technical report presents a text-to-image neural network "Emojich" that generates emojis using captions in Russian language as a condition. We aim to keep the generalization ability of a pretrained big model ruDALL-E Malevich (XL) 1.3B parameters at the fine-tuning stage, while giving special style to the images generated. Here are presented some engineering methods, code realization, all hyper-parameters for reproducing results and a Telegram bot where everyone can create their own customized sets of stickers. Also, some newly generated emojis obtained by "Emojich" model are demonstrated.

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