2 code implementations • 27 Feb 2024 • Karen Efremyan, Elizaveta Petrova, Evgeny Kaskov, Alexander Kapitanov
The benchmark experiments confirm that the suggested patch-based normalization block and feature extractor effectively improve the network's capability to harmonize portraits.
Ranked #1 on Image Harmonization on FFHQH
1 code implementation • 23 May 2023 • Alexander Kapitanov, Karina Kvanchiani, Alexander Nagaev, Elizaveta Petrova
One of the main challenges of the sign language recognition task is the difficulty of collecting a suitable dataset due to the gap between hard-of-hearing and hearing societies.
1 code implementation • 26 Apr 2023 • Karina Kvanchiani, Elizaveta Petrova, Karen Efremyan, Alexander Sautin, Alexander Kapitanov
Limited variability in existing portrait segmentation and face parsing datasets, including head poses, ethnicity, scenes, and occlusions specific to video conferencing, motivated us to create a new dataset, EasyPortrait, for these tasks simultaneously.