3 papers
eess.IV2023
Low-complexity Overfitted Neural Image Codec
Thomas Leguay, Théo Ladune, Pierrick Philippe +2
We propose a neural image codec at reduced complexity which overfits the decoder parameters to each input image. While autoencoders perform up to a million multiplications per deco…
eess.IV2022
COOL-CHIC: Coordinate-based Low Complexity Hierarchical Image Codec
Théo Ladune, Pierrick Philippe, Félix Henry +2
We introduce COOL-CHIC, a Coordinate-based Low Complexity Hierarchical Image Codec. It is a learned alternative to autoencoders with 629 parameters and 680 multiplications per deco…
eess.IV2022
Artificial Intelligence based Video Codec (AIVC) for CLIC 2022
Théo Ladune, Gordon Clare, Pierrick Philippe +1
This paper presents the AIVC submission to the CLIC 2022 video track. AIVC is a fully-learned video codec based on conditional autoencoders. The flexibility of the AIVC models is l…