Perceptual Learned Video Compression with Recurrent Conditional GAN. (arXiv:2109.03082v4 [eess.IV] UPDATED)

This paper proposes a Perceptual Learned Video Compression (PLVC) approach
with recurrent conditional GAN. In our approach, we employ the recurrent
auto-encoder-based compression network as the generator, and the most
importantly, we propose a recurrent conditional discriminator, which judges raw
and compressed video conditioned on both spatial and temporal features,
including the latent representation, temporal motion and hidden states in
recurrent cells. This way, in the adversarial training, it pushes the generated
video to be not only spatially photo-realistic but …

arxiv compression gan video