1 citations · 1 across the 3 of their papers we have counts for
3 papers
Cut-and-Splat: Leveraging Gaussian Splatting for Synthetic Data Generation
Bram Vanherle, Brent Zoomers, Jeroen Put +2
Generating synthetic images is a useful method for cheaply obtaining labeled data for training computer vision models. However, obtaining accurate 3D models of relevant objects is…
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…
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,…