  An event camera detects per-pixel intensity difference and produces
asynchronous event stream with low latency, high dynamic range, and low power
consumption. As a trade-off, the event camera has low spatial resolution. We
propose an end-to-end network to reconstruct high resolution, high dynamic
range (HDR) images directly from the event stream. We evaluate our algorithm on
both simulated and real-world sequences and verify that it captures fine
details of a scene and outperforms the combination of the state-of-the-art
event to image algorithms with the state-of-the-art super resolution schemes in
many quantitative measures by large margins. We further extend our method by
using the active sensor pixel (APS) frames or reconstructing images
iteratively.
