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pro vyhledávání: '"Kirillov, A"'
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GPT-4o is an autoregressive omni model that accepts as input any combination of text, audio, image, and video, and generates any combination of text, audio, and image outputs. It's trained end-to-end across text, vision, and audio, meaning all inputs
Externí odkaz:
http://arxiv.org/abs/2410.21276
Diffusion-based models have recently transformed conditional image generation, achieving unprecedented fidelity in generating photorealistic and semantically accurate images. However, consistently generating high-quality images remains challenging, p
Externí odkaz:
http://arxiv.org/abs/2412.01794
The paper explores the use of various machine learning methods to search for heterogeneous or atypical structures on astronomical maps. The study was conducted on the maps of the cosmic microwave background radiation from the Planck mission obtained
Externí odkaz:
http://arxiv.org/abs/2411.08079
Zonotopal algebras (external, central, and internal) of an undirected graph G introduced by Postnikov-Shapiro and Holtz-Ron, are finite-dimensional commutative graded algebras whose Hilbert series contain a wealth of combinatorial information about G
Externí odkaz:
http://arxiv.org/abs/2407.19431
Autor:
Kirillov, Oleg N., Mutabazi, Innocent
A universal theory of linear instabilities in swirling flows, occurring in both natural settings and industrial applications, is formulated. The theory encompasses a wide range of open and confined flows, including spiral isothermal flows and barocli
Externí odkaz:
http://arxiv.org/abs/2407.01706
Autor:
Kirillov, Ivan, Parkhomenko, Denis, Chernyshev, Kirill, Pletnev, Alexander, Shi, Yibo, Lin, Kai, Babin, Dmitry
Learned video compression methods already outperform VVC in the low-delay (LD) case, but the random-access (RA) scenario remains challenging. Most works on learned RA video compression either use HEVC as an anchor or compare it to VVC in specific tes
Externí odkaz:
http://arxiv.org/abs/2406.16544
Over the past few years, deep neural models have made considerable advances in image quality assessment (IQA). However, the underlying reasons for their success remain unclear, owing to the complex nature of deep neural networks. IQA aims to describe
Externí odkaz:
http://arxiv.org/abs/2405.04997
Autor:
Kastryulin, Sergey, Konev, Artem, Shishenya, Alexander, Lyapustin, Eugene, Khurshudov, Artem, Tselousov, Alexander, Vinokurov, Nikita, Kuznedelev, Denis, Markovich, Alexander, Livshits, Grigoriy, Kirillov, Alexey, Tabisheva, Anastasiia, Chubarova, Liubov, Kaminskaia, Marina, Ustyuzhanin, Alexander, Shvetsov, Artemii, Shlenskii, Daniil, Startsev, Valerii, Kornilov, Dmitrii, Romanov, Mikhail, Babenko, Artem, Ovcharenko, Sergei, Khrulkov, Valentin
In the rapidly progressing field of generative models, the development of efficient and high-fidelity text-to-image diffusion systems represents a significant frontier. This study introduces YaART, a novel production-grade text-to-image cascaded diff
Externí odkaz:
http://arxiv.org/abs/2404.05666
Autor:
Bigoni, Davide, Corso, Francesco Dal, Kirillov, Oleg N., Misseroni, Diego, Noselli, Giovanni, Piccolroaz, Andrea
Publikováno v:
Proc. R. Soc. A. 479: 20230523 (2023)
The phenomenon of oscillatory instability called \lq flutter' was observed in aeroelasticity and rotor dynamics about a century ago. Driven by a series of applications involving nonconservative elasticity theory at different physical scales, ranging
Externí odkaz:
http://arxiv.org/abs/2401.07092
Autor:
Kirillov, A. A., Savelova, E. P.
A model of space-time foam in the form of an arbitrary distribution of spherical Euclidean wormholes is considered. A method for constructing the exact solution of Einstein's Euclidean equations for the metric corresponding to this model is proposed.
Externí odkaz:
http://arxiv.org/abs/2401.01815