Papers by Evelina Mironova
RusCode: Russian Cultural Code Benchmark for Text-to-Image Generation (2025.findings-naacl)
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Viacheslav Vasilev, Julia Agafonova, Nikolai Gerasimenko, Alexander Kapitanov, Polina Mikhailova, Evelina Mironova, Denis Dimitrov
| Challenge: | Text-to-image generation models exhibit a strong bias toward English-speaking cultures, ignoring or misrepresenting the unique characteristics of other language groups, countries, and nationalities. |
| Approach: | They propose a RusCode benchmark to evaluate the quality of text-to-image generation containing elements of the Russian cultural code. |
| Outcome: | The proposed model is based on 1250 text prompts in Russian and their translations into English. |
Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework (2024.emnlp-demo)
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Arkhipkin Vladimir, Viacheslav Vasilev, Andrei Filatov, Igor Pavlov, Julia Agafonova, Nikolai Gerasimenko, Anna Averchenkova, Evelina Mironova, Bukashkin Anton, Konstantin Kulikov, Andrey Kuznetsov, Denis Dimitrov
| Challenge: | Text-to-image (T2I) diffusion models are popular for image manipulation, but also for video generation. |
| Approach: | They propose a novel T2I diffusion model based on latent diffusion that extends the base model for various applications. |
| Outcome: | The proposed model achieves high quality and photorealism and is 3 times faster than the base model. |