Towards True Detail Restoration for Super-Resolution: A Benchmark and a Quality Metric. - Eugene Lyapustin; Anastasia Kirillova; Viacheslav Meshchaninov; Evgeney Zimin; Nikolai Karetin; Dmitriy S. Vatolin (CoRR, 2022)

Combining Contrastive and Supervised Learning for Video Super-Resolution Detection. - Viacheslav Meshchaninov; Ivan Molodetskikh; Dmitriy S. Vatolin (CoRR, 2022)

TEncDM: Understanding the Properties of Diffusion Model in the Space of Language Model Encodings. - Alexander Shabalin; Viacheslav Meshchaninov; Tingir Badmaev; Dmitry Molchanov; Grigory Bartosh; Sergey Markov; Dmitry P. Vetrov (CoRR, 2024)

Diffusion on language model embeddings for protein sequence generation. - Viacheslav Meshchaninov; Pavel V. Strashnov; Andrey Shevtsov; Fedor Nikolaev; Nikita Ivanisenko; Olga L. Kardymon; Dmitry P. Vetrov (CoRR, 2024)

TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings. - Alexander Shabalin; Viacheslav Meshchaninov; Egor Chimbulatov; Vladislav Lapikov; Roman Kim; Grigory Bartosh; Dmitry Molchanov; Sergey Markov; Dmitry P. Vetrov (AAAI, 2025)

Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation. - Alexander Shabalin; Viacheslav Meshchaninov; Dmitry P. Vetrov (CoRR, 2025)

Compressed and Smooth Latent Space for Text Diffusion Modeling. - Viacheslav Meshchaninov; Egor Chimbulatov; Alexander Shabalin; Aleksandr Abramov; Dmitry Vetrov (CoRR, 2025)