most citedGenetic Learning for Designing Sim-to-Real Data Augmentations

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cs.CV2024★ 1 cited

Genetic Learning for Designing Sim-to-Real Data Augmentations

Bram Vanherle, Nick Michiels, Frank Van Reeth

Data augmentations are useful in closing the sim-to-real domain gap when training on synthetic data. This is because they widen the training data distribution, thus encouraging the…

cs.CV2024

VATr++: Choose Your Words Wisely for Handwritten Text Generation

Bram Vanherle, Vittorio Pippi, Silvia Cascianelli +3

Styled Handwritten Text Generation (HTG) has received significant attention in recent years, propelled by the success of learning-based solutions employing GANs, Transformers, and,…