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

no code implementations • 27 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