Computer Science > Computer Vision and Pattern Recognition
[Submitted on 17 Nov 2022 (v1), last revised 7 Dec 2022 (this version, v2)]
Title:SPACE: Speech-driven Portrait Animation with Controllable Expression
View PDFAbstract:Animating portraits using speech has received growing attention in recent years, with various creative and practical use cases. An ideal generated video should have good lip sync with the audio, natural facial expressions and head motions, and high frame quality. In this work, we present SPACE, which uses speech and a single image to generate high-resolution, and expressive videos with realistic head pose, without requiring a driving video. It uses a multi-stage approach, combining the controllability of facial landmarks with the high-quality synthesis power of a pretrained face generator. SPACE also allows for the control of emotions and their intensities. Our method outperforms prior methods in objective metrics for image quality and facial motions and is strongly preferred by users in pair-wise comparisons. The project website is available at this https URL
Submission history
From: Arun Mallya [view email][v1] Thu, 17 Nov 2022 18:59:56 UTC (3,834 KB)
[v2] Wed, 7 Dec 2022 00:18:15 UTC (3,861 KB)
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