no code implementations • 26 Mar 2024 • Qiqi Hou, Farzad Farhadzadeh, Amir Said, Guillaume Sautiere, Hoang Le
The rise of new video modalities like virtual reality or autonomous driving has increased the demand for efficient multi-view video compression methods, both in terms of rate-distortion (R-D) performance and in terms of delay and runtime.
1 code implementation • 13 Dec 2023 • Amirhossein Habibian, Amir Ghodrati, Noor Fathima, Guillaume Sautiere, Risheek Garrepalli, Fatih Porikli, Jens Petersen
This work aims to improve the efficiency of text-to-image diffusion models.
no code implementations • 2 Oct 2023 • Ties van Rozendaal, Tushar Singhal, Hoang Le, Guillaume Sautiere, Amir Said, Krishna Buska, Anjuman Raha, Dimitris Kalatzis, Hitarth Mehta, Frank Mayer, Liang Zhang, Markus Nagel, Auke Wiggers
This work presents the first neural video codec that decodes 1080p YUV420 video in real time on a mobile device.
no code implementations • 8 Aug 2022 • Reza Pourreza, Hoang Le, Amir Said, Guillaume Sautiere, Auke Wiggers
In video compression, coding efficiency is improved by reusing pixels from previously decoded frames via motion and residual compensation.
no code implementations • 18 Jul 2022 • Hoang Le, Liang Zhang, Amir Said, Guillaume Sautiere, Yang Yang, Pranav Shrestha, Fei Yin, Reza Pourreza, Auke Wiggers
Realizing the potential of neural video codecs on mobile devices is a big technological challenge due to the computational complexity of deep networks and the power-constrained mobile hardware.
no code implementations • 9 Apr 2020 • Adam Golinski, Reza Pourreza, Yang Yang, Guillaume Sautiere, Taco S. Cohen
Recent advances in deep generative modeling have enabled efficient modeling of high dimensional data distributions and opened up a new horizon for solving data compression problems.