Extreme-scale Talking-Face Video Upsampling with Audio-Visual Priors

Sindhu B. Hegde, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

1 Citation (SciVal)


In this paper, we explore an interesting question of what can be obtained from an 8x8 pixel video sequence. Surprisingly, it turns out to be quite a lot. We show that when we process this 8x8 video with the right set of audio and image priors, we can obtain a full-length, 256x256 video. We achieve this 32x scaling of an extremely low-resolution input using our novel audio-visual upsampling network. The audio prior helps to recover the elemental facial details and precise lip shapes and a single high-resolution target identity image prior provides us with rich appearance details. Our approach is an end-to-end multi-stage framework. The first stage produces a coarse intermediate output video that can be then used to animate single target identity image and generate realistic, accurate and high-quality outputs. Our approach is simple and performs exceedingly well (an 8x improvement in FID score) compared to previous super-resolution methods. We also extend our model to talking-face video compression, and show that we obtain a 3.5x improvement in terms of bits/pixel over the previous state-of-the-art. The results from our network are thoroughly analyzed through extensive ablation experiments (in the paper and supplementary material). We also provide the demo video along with code and models on our http://cvit.iiit.ac.in/research/projects/cvit-projects/talking-face-video-upsampling.

Original languageEnglish
Title of host publicationMM 2022 - Proceedings of the 30th ACM International Conference on Multimedia
PublisherAssociation for Computing Machinery
Number of pages10
ISBN (Electronic)9781450392037
Publication statusPublished - 10 Oct 2022
Event30th ACM International Conference on Multimedia, MM 2022 - Lisboa, Portugal
Duration: 10 Oct 202214 Oct 2022

Publication series

NameMM 2022 - Proceedings of the 30th ACM International Conference on Multimedia


Conference30th ACM International Conference on Multimedia, MM 2022


  • audio-visual learning
  • talking-face videos
  • video compression
  • video super-resolution
  • video upsampling

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software


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