29 citations · 115 across the 20 of their papers we have counts for
6 papers · 1 filter
A Projection-Based Surrogate Gradient Interpretation for Neural Codec Wrappers
Esteban Pesnel, Julien Le Tanou, Michael Ropert +2
Neural wrappers are learned pre-and postprocessing networks designed to enhance the performance of conventional video codecs. Although these approaches can significantly improve co…
Efficient training for compact compression models via sequential distillation
Caroline Mazini Rodrigues, Nicolas Keriven, Thomas Maugey
Deep learning models for image compression often face practical limitations in hardware-constrained applications. Although these models achieve high-quality reconstructions, they a…
Fine color guidance in diffusion models and its application to image compression at extremely low bitrates
Tom Bordin, Thomas Maugey
This study addresses the challenge of, without training or fine-tuning, controlling the global color aspect of images generated with a diffusion model. We rewrite the guidance equa…
Geometry-Aware Graph Transforms for Light Field Compact Representation
Mira Rizkallah, Xin Su, Thomas Maugey +1
The paper addresses the problem of energy compaction of dense 4D light fields by designing geometry-aware local graph-based transforms. Local graphs are constructed on super-rays t…
Prediction and Sampling with Local Graph Transforms for Quasi-Lossless Light Field Compression
Mira Rizkallah, Thomas Maugey, Christine Guillemot
Graph-based transforms have been shown to be powerful tools in terms of image energy compaction. However, when the support increases to best capture signal dependencies, the comput…
Rate-Distortion Analysis of Multiview Coding in a DIBR Framework
Boshra Rajaei, Thomas Maugey, Hamid-Reza Pourreza +1
Depth image based rendering techniques for multiview applications have been recently introduced for efficient view generation at arbitrary camera positions. Encoding rate control h…