Online Video Super-Resolution with Convolutional Kernel Bypass Graft. (arXiv:2208.02470v1 [cs.CV])

Deep learning-based models have achieved remarkable performance in video
super-resolution (VSR) in recent years, but most of these models are less
applicable to online video applications. These methods solely consider the
distortion quality and ignore crucial requirements for online applications,
e.g., low latency and low model complexity. In this paper, we focus on online
video transmission, in which VSR algorithms are required to generate
high-resolution video sequences frame by frame in real time. To address such
challenges, we propose an …

arxiv cv graft kernel online video video