High-fidelity, directable animation transfer using facial decomposition on optimized micro-sequences

* * 娱乐业向世界各地讲大量不同语言的人提供媒体产品。电视或互联网广告、电影和视频游戏等媒体产品通常由视频和声音流组成。为了适应不同的语言，制作者通常在后期制作步骤中以不同的语言重新生成声音流，该过程称为配音。虽然重新生成声音流（配音）仍然需要大量的工作，但从研究和制作的角度来看，剩下的开放挑战之一是如何将原始视频流与新的音频流同步。缺乏同步创造了一个非常离奇的效果，带走了经验，因为嘴唇运动的演员不符合配乐。在这个项目中，我们提出了一个实用的解决方案，配音同步问题，产生自然的结果，可以在生产工作室使用。为了实现这一目标，我们与AudioZ建立了战略合作伙伴关系，AudioZ是一家位于蒙特利尔的制作工作室，我们将与他们合作这个项目。我们提出了一种视频合成方法，融合动画集中在嘴唇区域，同时保留原始演员的面部表情。我们的方法使用了新的优化技术，以避免视频合成中常见的不希望出现的恐怖谷效应。

**The entertainment industry delivers media products around the world to people speaking a large number of distinct languages. Media products such as TV or internet spots, movies and video games, typically consist of a video and sound stream. To accommodate different languages, the producers typically re-generate the sound stream in different language in a post-production step, a process known as dubbing. While it still takes a lot of effort to re-generate the sound stream (dubbing), one of the remaining open challenges both from a research and production point of view is how to synchronize the original video stream with the new audio stream. The lack of synchronization creates a very uncanny effect that takes away from the experience since the lip motion of the actors does not correspond to the soundtrack. In this project we propose a practical solution to the dubbing synchronization problem, producing natural results that can be used in a production studio. To achieve that, we created a strategic partnership with AudioZ, a production studio located in Montreal with whom we will collaborate on this project. We propose a video synthesis method that blends animation focusing on the lip area while preserving the facial expression of the original actor. Our method uses novel optimization techniques to avoid the common undesired uncanny valley effect of video synthesis.******