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Diffusion-based generative models have recently emerged as powerful solutions for high-quality synthesis in multiple domains.
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J. Ho, A. Jain, and P. Abbeel, “Denoising diffusion probabilistic models,” Advances in Neural Information Processing Systems , vol. 33, pp. 6840–6851, 2020
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2022
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2022
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2022
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U. Bhattacharya, E. Childs, N. Rewkowski, and D. Manocha, “Speech2affectivegestures: Synthesizing co-speech gestures with generative adversarial affective expression learning,” in Proceedings of the 29th ACM International Conference on Multimedia , 2021, pp. 2027–2036
2036
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