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Taking inspiration from recent developments in visual generative tasks using diffusion models, we propose a method for end-to-end speech-driven video editing using a denoising diffusion model.
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Sefik Emre Eskimez, Ross K Maddox, Chenliang Xu, and Zhiyao Duan · 2020
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2020
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Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, and Bryan Catanzaro · 2020
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Omri Avrahami, Dani Lischinski, and Ohad Fried · 2022
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Sen Chen, Zhilei Liu, Jiaxing Liu, and Longbiao Wang · 2022
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A lip sync expert is all you need for speech to lip generation in the wild
KR Prajwal, Rudrabha Mukhopadhyay, Vinay P Namboodiri, and CV Jawahar · 2020
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Realistic speech-driven facial animation with gans
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Photorealistic audio-driven video portraits
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Michał Stypułkowski, Konstantinos Vougioukas, Sen He, Maciej Zięba, Stavros Petridis, and Maja Pantic · 2023
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