YaART: Yet Another ART Rendering Technology

no code implementations • 8 Apr 2024 • Sergey Kastryulin, Artem Konev, Alexander Shishenya, Eugene Lyapustin, Artem Khurshudov, Alexander Tselousov, Nikita Vinokurov, Denis Kuznedelev, Alexander Markovich, Grigoriy Livshits, Alexey Kirillov, Anastasiia Tabisheva, Liubov Chubarova, Marina Kaminskaia, Alexander Ustyuzhanin, Artemii Shvetsov, Daniil Shlenskii, Valerii Startsev, Dmitrii Kornilov, Mikhail Romanov, Artem Babenko, Sergei Ovcharenko, Valentin Khrulkov

In the rapidly progressing field of generative models, the development of efficient and high-fidelity text-to-image diffusion systems represents a significant frontier.

Towards True Detail Restoration for Super-Resolution: A Benchmark and a Quality Metric

no code implementations • 16 Mar 2022 • Eugene Lyapustin, Anastasia Kirillova, Viacheslav Meshchaninov, Evgeney Zimin, Nikolai Karetin, Dmitriy Vatolin

To analyze the detail-restoration capabilities of image and video SR models, we developed a benchmark based on our own video dataset, which contains complex patterns that SR models generally fail to correctly restore.

Super-Resolution

ERQA: Edge-Restoration Quality Assessment for Video Super-Resolution

1 code implementation • 19 Oct 2021 • Anastasia Kirillova, Eugene Lyapustin, Anastasia Antsiferova, Dmitry Vatolin

The ERQA metric, which we propose in this paper, aims to estimate a model's ability to restore real details using VSR.

Image Super-Resolution Video Quality Assessment +1