Reducing the Sim-to-Real Gap for Event Cameras
Published in
European Conference on Computer Vision(2020)External Links:
TL
TL;DR
This work presents a new High Quality Frames (HQF) dataset, containing events and ground truth frames from a DAVIS240C that are well-exposed and minimally motion-blurred, and presents strategies for improving training data for event based CNNs that result in 20-40% boost in performance of existing state-of-the-art (SOTA) video reconstruction networks retrained with this method.