1 code implementation • 11 Mar 2024 • Bram Vanherle, Nick Michiels, Frank Van Reeth
This is because they widen the training data distribution, thus encouraging the model to generalize better to other domains.
no code implementations • 16 Feb 2024 • Bram Vanherle, Vittorio Pippi, Silvia Cascianelli, Nick Michiels, Frank Van Reeth, Rita Cucchiara
Styled Handwritten Text Generation (HTG) has received significant attention in recent years, propelled by the success of learning-based solutions employing GANs, Transformers, and, preliminarily, Diffusion Models.
1 code implementation • 29 Nov 2022 • Bram Vanherle, Steven Moonen, Frank Van Reeth, Nick Michiels
The downside of this technique is that the so-called domain gap between the real target images and synthetic training data leads to a decrease in performance.
no code implementations • 21 Oct 2022 • Bram Vanherle, Jeroen Put, Nick Michiels, Frank Van Reeth
To avoid the need for an exact textured 3D model of the tool in question, it is shown that the model will generalize to an unseen tool when trained on a set of different 3D models of the same type of tool.