Search Results for author: Guillaume Sautière

Found 4 papers, 0 papers with code

Neural Image Compression with a Diffusion-Based Decoder

no code implementations13 Jan 2023 Noor Fathima Ghouse, Jens Petersen, Auke Wiggers, Tianlin Xu, Guillaume Sautière

Diffusion probabilistic models have recently achieved remarkable success in generating high quality image and video data.

Image Compression

Region-of-Interest Based Neural Video Compression

no code implementations3 Mar 2022 Yura Perugachi-Diaz, Guillaume Sautière, Davide Abati, Yang Yang, Amirhossein Habibian, Taco S Cohen

To the best of our knowledge, our proposals are the first solutions that integrate ROI-based capabilities into neural video compression models.

Quantization Video Compression

Lossy Compression with Distortion Constrained Optimization

no code implementations8 May 2020 Ties van Rozendaal, Guillaume Sautière, Taco S. Cohen

We argue that the constrained optimization method of Rezende and Viola, 2018 is a lot more appropriate for training lossy compression models because it allows us to obtain the best possible rate subject to a distortion constraint.

Image Compression Model Selection

Feedback Recurrent AutoEncoder

no code implementations11 Nov 2019 Yang Yang, Guillaume Sautière, J. Jon Ryu, Taco S. Cohen

In this work, we propose a new recurrent autoencoder architecture, termed Feedback Recurrent AutoEncoder (FRAE), for online compression of sequential data with temporal dependency.

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