Fast Bi-Layer Neural Synthesis of One-Shot Realistic Head Avatars-Reference-Cited by-同舟云学术

Fast Bi-Layer Neural Synthesis of One-Shot Realistic Head Avatars

Published:2020 Issue: Volume: Page:524-540
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2020
language:
Short-container-title:

Author:

Zakharov Egor,Ivakhnenko Aleksei,Shysheya Aliaksandra,Lempitsky Victor

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58610-2_31

Reference42 articles.

1. PyTorch homepage. https://pytorch.org

2. SNPE homepage. https://developer.qualcomm.com/sites/default/files/docs/snpe

3. TensorFlow Lite homepage. https://www.tensorflow.org/lite

4. Alexander, O., et al.: The Digital Emily project: achieving a photorealistic digital actor. IEEE Comput. Graph. Appl. 30(4), 20–31 (2010)

5. Andrychowicz, M., et al.: Learning to learn by gradient descent by gradient descent. In: Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems (2016)

Cited by 87 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A survey on deep learning based reenactment methods for deepfake applications;IET Image Processing;2024-08-19

2. One-shot Face Reenactment with Dense Correspondence Estimation;Machine Intelligence Research;2024-05-30

3. A keypoints-motion-based landmark transfer method for face reenactment;Journal of Visual Communication and Image Representation;2024-04

4. One-Shot Neural Face Reenactment via Finding Directions in GAN’s Latent Space;International Journal of Computer Vision;2024-03-13

5. Simultaneous control of head pose and expressions in 3D facial keypoint-based GAN;Multimedia Tools and Applications;2024-03-01