Speech and Facial Animation at SIGGRAPH 2017 -- comparison of technical papers

Comparison of three technical papers presented at SIGGRAPH 2017 in the "Speech and Facial Animation" session.
http://s2017.siggraph.org/technical-papers/sessions/speech-and-facial-animation

Tero Karras, Timo Aila, Samuli Laine, Antti Herva, and Jaakko Lehtinen.
Audio-Driven Facial Animation by Joint End-to-End Learning of Pose and Emotion.
ACM Trans. Graph. 36, 4, Article 94 (July 2017).
http://research.nvidia.com/publication/2017-07_Audio-Driven-Facial-Animation

Supasorn Suwajanakorn, Steven M. Seitz, and Ira Kemelmacher-Shlizerman.
Synthesizing Obama: Learning Lip Sync from Audio.
ACM Trans. Graph. 36, 4, Article 95 (July 2017).
https://grail.cs.washington.edu/projects/AudioToObama/

Sarah Taylor, Taehwan Kim, Yisong Yue, Moshe Mahler, James Krahe, Anastasio Garcia Rodriguez, Jessica Hodgins, and Iain Matthews.
A Deep Learning Approach for Generalized Speech Animation.
ACM Trans. Graph. 36, 4, Article 93 (July 2017).
https://www.disneyresearch.com/publication/deep-learning-speech-animation/

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