5 papers
Generative Models at the Frontier of Compression: A Survey on Generative Face Video Coding
Bolin Chen, Shanzhi Yin, Goluck Konuko +4
The rise of deep generative models has greatly advanced video compression, reshaping the paradigm of face video coding through their powerful capability for semantic-aware represen…
Multi-Reference Generative Face Video Compression with Contrastive Learning
Goluck Konuko, Giuseppe Valenzise
Generative face video coding (GFVC) has been demonstrated as a potential approach to low-latency, low bitrate video conferencing. GFVC frameworks achieve an extreme gain in coding…
Predictive Coding For Animation-Based Video Compression
Goluck Konuko, Stéphane Lathuilière, Giuseppe Valenzise
We address the problem of efficiently compressing video for conferencing-type applications. We build on recent approaches based on image animation, which can achieve good reconstru…
A Hybrid Deep Animation Codec for Low-bitrate Video Conferencing
Goluck Konuko, Stéphane Lathuilière, Giuseppe Valenzise
Deep generative models, and particularly facial animation schemes, can be used in video conferencing applications to efficiently compress a video through a sparse set of keypoints,…
Ultra-low bitrate video conferencing using deep image animation
Goluck Konuko, Giuseppe Valenzise, Stéphane Lathuilière
In this work we propose a novel deep learning approach for ultra-low bitrate video compression for video conferencing applications. To address the shortcomings of current video com…