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“Several recent works have shown how highly realistic human head images can be obtained by training convolutional neural networks to generate them. In order to create a personalized talking head model, these works require training on a large dataset of images of a single person…in many practical scenarios, such personalized talking head models need to be learned from a few image views of a person, potentially even a single image…we present a system with such few-shot capability. It performs lengthy meta-learning on a large dataset of videos, and after that is able to frame few- and one-shot learning of neural talking head models of previously unseen people as adversarial training problems with high capacity generators and discriminators…the system is able to initialize the parameters of both the generator and the discriminator in a person-specific way, so that training can be based on just a few images and done quickly…that such an approach is able to learn highly realistic and personalized talking head models of new people and even portrait paintings.”

Source: Few-Shot Adversarial Learning of Realistic Neural Talking Head Models

Related: New AI can create fake videos of people from a single picture

Dr. Troglodyte

“Quis custodiet ipsos custodes?“ - Decimus Junius Juvenalis

“Numero, Pondere et Mensura“

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Subject Views Written By Posted
Realistic Neural Talking Head Models 627 Dr. Troglodyte 24-May-19 16:59
Re: Realistic Neural Talking Head Models 50 D-Archer 24-May-19 18:28
Re: Realistic Neural Talking Head Models 51 Nolondil 24-May-19 21:48
Re: Realistic Neural Talking Head Models 49 D-Archer 25-May-19 09:35
Re: Realistic Neural Talking Head Models 93 Lost_In_Place 25-May-19 17:01

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