computer-vision
Talking Head Generation
3260 papers • 126 benchmarks • 313 datasets
Talking head generation is the task of generating a talking face from a set of images of a person. ( Image credit: Few-Shot Adversarial Learning of Realistic Neural Talking Head Models )
(Image credit: Papersgraph)
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VoxCeleb2 - 1-shot learning
VoxCeleb2 - 1-shot learning
VoxCeleb1 - 1-shot learning
VoxCeleb1 - 1-shot learning
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Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
V. Lempitsky, Egor Zakharov, Aliaksandra Shysheya, Egor Burkov•Sun May 19 2019
This work presents a system that performs lengthy meta-learning on a large dataset of videos, and 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.
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