Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
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…
cs.CV2026
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…
cs.CV2024
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…