Search Results for author: Vladimir Loginov

Found 3 papers, 1 papers with code

Face Recognition Using Synthetic Face Data

no code implementations17 May 2023 Omer Granoviter, Alexey Gruzdev, Vladimir Loginov, Max Kogan, Orly Zvitia

In the field of deep learning applied to face recognition, securing large-scale, high-quality datasets is vital for attaining precise and reliable results.

Face Recognition

Knowing the Distance: Understanding the Gap Between Synthetic and Real Data For Face Parsing

no code implementations27 Mar 2023 Eli Friedman, Assaf Lehr, Alexey Gruzdev, Vladimir Loginov, Max Kogan, Moran Rubin, Orly Zvitia

Our study highlights the importance of content diversity in synthetic datasets and challenges the notion that the photorealism gap is the most critical factor affecting the performance of computer vision models trained on synthetic data.

Face Parsing

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