4 papers
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…
Learn how to Prune Pixels for Multi-view Neural Image-based Synthesis
Marta Milovanović, Enzo Tartaglione, Marco Cagnazzo +1
Image-based rendering techniques stand at the core of an immersive experience for the user, as they generate novel views given a set of multiple input images. Since they have shown…
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…
Intra Prediction Using In-Loop Residual Coding for the post-HEVC Standard
Mohsen Abdoli, Félix Henry, Patric Brault +2
A few years after standardization of the High Efficiency Video Coding (HEVC), now the Joint Video Exploration Team (JVET) group is exploring post-HEVC video compression technologie…