Physics-based Feature Extraction and Image Manipulation via Autoencoders

We experiment with the extraction of physics-based features by utilizing synthesized data as ground truth, and further utilize these extracted features to perform image space manipulations. Inspired by recent literature, we model our network as an adversarial autoencoder, and train our encoder to extract physical properties of the image scene.