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FACTS: Facial Animation Creation using the Transfer of Styles

arXiv 2307.09480 ↗First posted 18 Jul 2023cs.GR cs.CVcited by 0

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Abstract (arXiv)

The ability to accurately capture and express emotions is a critical aspect of creating believable characters in video games and other forms of entertainment. Traditionally, this animation has been achieved with artistic effort or performance capture, both requiring costs in time and labor. More recently, audio-driven models have seen success, however, these often lack expressiveness in areas not correlated to the audio signal. In this paper, we present a novel approach to facial animation by taking existing animations and allowing for the modification of style characteristics. Specifically, we explore the use of a StarGAN to enable the conversion of 3D facial animations into different emotions and person-specific styles. We are able to maintain the lip-sync of the animations with this method thanks to the use of a novel viseme-preserving loss.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 24 of its 44 references that are in the map. First posted on arXiv 18 Jul 2023.

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References · 24

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12 more
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  2. 2019Neural Voice Puppetry: Audio-driven Facial Reenactmentcited by 249
  3. 2021FaceFormer: Speech-Driven 3D Facial Animation with Transformerscited by 208
  4. 2023Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generationcited by 142
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  10. 2022Memories are One-to-Many Mapping Alleviators in Talking Face Generationcited by 22
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  12. 20213D-TalkEmo: Learning to Synthesize 3D Emotional Talking Headcited by 10

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