Search Results for author: Igor Pavlov

Found 5 papers, 5 papers with code

Kandinsky 3.0 Technical Report

1 code implementation • 6 Dec 2023 • Vladimir Arkhipkin, Andrei Filatov, Viacheslav Vasilev, Anastasia Maltseva, Said Azizov, Igor Pavlov, Julia Agafonova, Andrey Kuznetsov, Denis Dimitrov

We focus on the key components that, as we have identified as a result of a large number of experiments, had the most significant impact on improving the quality of our model compared to the others.

Text-to-Image Generation

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Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion

1 code implementation • 5 Oct 2023 • Anton Razzhigaev, Arseniy Shakhmatov, Anastasia Maltseva, Vladimir Arkhipkin, Igor Pavlov, Ilya Ryabov, Angelina Kuts, Alexander Panchenko, Andrey Kuznetsov, Denis Dimitrov

Text-to-image generation is a significant domain in modern computer vision and has achieved substantial improvements through the evolution of generative architectures.

Ranked #22 on Text-to-Image Generation on MS COCO

Text-to-Image Generation

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MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description

1 code implementation • Computers and Geosciences 2023 • Sergey Nesteruk, Julia Agafonova, Igor Pavlov, Maxim Gerasimov, Nikolay Latyshev, Denis Dimitrov, Andrey Kuznetsov, Artur Kadurin, Pavel Plechov

On the contrary, in a raw sample, the target mineral can appear in the form of thinly represented inclusions.

Zero-Shot Learning

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RuCLIP -- new models and experiments: a technical report

1 code implementation • 22 Feb 2022 • Alex Shonenkov, Andrey Kuznetsov, Denis Dimitrov, Tatyana Shavrina, Daniil Chesakov, Anastasia Maltseva, Alena Fenogenova, Igor Pavlov, Anton Emelyanov, Sergey Markov, Daria Bakshandaeva, Vera Shybaeva, Andrey Chertok

In the report we propose six new implementations of ruCLIP model trained on our 240M pairs.

Translation

758

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Scaling advantage in quantum simulation of geometrically frustrated magnets

1 code implementation • 8 Nov 2019 • Andrew D. King, Jack Raymond, Trevor Lanting, Sergei V. Isakov, Masoud Mohseni, Gabriel Poulin-Lamarre, Sara Ejtemaee, William Bernoudy, Isil Ozfidan, Anatoly Yu. Smirnov, Mauricio Reis, Fabio Altomare, Michael Babcock, Catia Baron, Andrew J. Berkley, Kelly Boothby, Paul I. Bunyk, Holly Christiani, Colin Enderud, Bram Evert, Richard Harris, Emile Hoskinson, Shuiyuan Huang, Kais Jooya, Ali Khodabandelou, Nicolas Ladizinsky, Ryan Li, P. Aaron Lott, Allison J. R. MacDonald, Danica Marsden, Gaelen Marsden, Teresa Medina, Reza Molavi, Richard Neufeld, Mana Norouzpour, Travis Oh, Igor Pavlov, Ilya Perminov, Thomas Prescott, Chris Rich, Yuki Sato, Benjamin Sheldan, George Sterling, Loren J. Swenson, Nicholas Tsai, Mark H. Volkmann, Jed D. Whittaker, Warren Wilkinson, Jason Yao, Hartmut Neven, Jeremy P. Hilton, Eric Ladizinsky, Mark W. Johnson, Mohammad H. Amin

By initializing the system in a state with topological obstruction, we observe quantum annealing (QA) relaxation timescales in excess of one microsecond.

Quantum Physics Statistical Mechanics Emerging Technologies

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