Synthetic Image Generation for Deep Learning

Synthetic Images are gaining a lot of interest in the field of image segmentation. However most of the current work focuses on generating images without any knowledge of physics ingrained in them as a constraint. This research focuses on exploring different avenues in generating physics-informed synthetic. We have already demonstrated how we can defect complex features such as wrinkles and folds in synthetic data.