Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain Adaptation

Novelty:

We propose a novel learning framework that performs sensor transfer on synthetic data. That is, the network learns to transfer the real sensor effect domain – blur, exposure, noise, color cast, and chromatic aberration – to synthetic images via a generative augmentation network.