Text/Speech-Driven Full-Body Animation
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Abstract (arXiv)
Due to the increasing demand in films and games, synthesizing 3D avatar animation has attracted much attention recently. In this work, we present a production-ready text/speech-driven full-body animation synthesis system. Given the text and corresponding speech, our system synthesizes face and body animations simultaneously, which are then skinned and rendered to obtain a video stream output. We adopt a learning-based approach for synthesizing facial animation and a graph-based approach to animate the body, which generates high-quality avatar animation efficiently and robustly. Our results demonstrate the generated avatar animations are realistic, diverse and highly text/speech-correlated.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 May 2022.
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Citing papers per year: 2023: 3.
3 papers.
- 2023A Comprehensive Review of Data-Driven Co-Speech Gesture Generationcited by 66
- 2023AQ-GT: a Temporally Aligned and Quantized GRU-Transformer for Co-Speech Gesture Synthesiscited by 8
- 2023Towards the generation of synchronized and believable non-verbal facial behaviors of a talking virtual agentcited by 5
- 2023Towards the generation of synchronized and believable non-verbal facial behaviors of a talking virtual agent15 Sep 2023
- 2023AQ-GT: a Temporally Aligned and Quantized GRU-Transformer for Co-Speech Gesture Synthesis2 May 2023
- 2023A Comprehensive Review of Data-Driven Co-Speech Gesture Generation13 Jan 2023