Abstract:The low-latency streams captured by event cameras have shown impressive potential in addressing vision tasks such as video reconstruction and optical flow estimation. However, these tasks often require massive training event streams, which are expensive to collect and largely bypassed by recently proposed event camera simulators. To align the statistics of synthetic events with that of target event cameras, existing simulators often need to be heuristically tuned with elaborative manual efforts and thus become… Show more
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