  This paper introduces AIVC, an end-to-end neural video codec. It is based on
two conditional autoencoders MNet and CNet, for motion compensation and coding.
AIVC learns to compress videos using any coding configurations through a single
end-to-end rate-distortion optimization. Furthermore, it offers performance
competitive with the recent video coder HEVC under several established test
conditions. A comprehensive ablation study is performed to evaluate the
benefits of the different modules composing AIVC. The implementation is made
available at https://orange-opensource.github.io/AIVC/.
