  Overfitted image codecs offer compelling compression performance and low
decoder complexity, through the overfitting of a lightweight decoder for each
image. Such codecs include Cool-chic, which presents image coding performance
on par with VVC while requiring around 2000 multiplications per decoded pixel.
This paper proposes to decrease Cool-chic encoding and decoding complexity. The
encoding complexity is reduced by shortening Cool-chic training, up to the
point where no overfitting is performed at all. It is also shown that a tiny
neural decoder with 300 multiplications per pixel still outperforms HEVC. A
near real-time CPU implementation of this decoder is made available at
https://orange-opensource.github.io/Cool-Chic/.
