Few-Shot Head Swapping in the Wild

Abstract

The head swapping task aims at flawlessly placing a source head onto a target body, which is of great importance to various entertainment scenarios. While face swapping has drawn much attention in the community, the task of head swapping has rarely been explored, particularly under the few-shot setting. It is inherently challenging due to its unique needs in head modeling and background blending. In this paper, we present the Head Swapper (HeSer), which achieves few-shot head swapping in the wild through two dedicated designed modules. Firstly, a Head2Head Aligner is devised to holistically migrate position and expression information from the target to the source head by examining multi-scale information. Secondly, to tackle the challenges of skin color variations and head-background mismatches, a Head2Scene Blender is introduced to simultaneously modify facial skin color and fill mismatched gaps on the background around the head. Particularly, seamless blending is achieved through a semantic-guided exemplar warping procedure. User studies and experimental results demonstrate that the proposed method produces superior head swapping results on a variety of scenes.

Cite

Text

Shu et al. "Few-Shot Head Swapping in the Wild." Conference on Computer Vision and Pattern Recognition, 2022. doi:10.1109/CVPR52688.2022.01052

Markdown

[Shu et al. "Few-Shot Head Swapping in the Wild." Conference on Computer Vision and Pattern Recognition, 2022.](https://mlanthology.org/cvpr/2022/shu2022cvpr-fewshot/) doi:10.1109/CVPR52688.2022.01052

BibTeX

@inproceedings{shu2022cvpr-fewshot,
  title     = {{Few-Shot Head Swapping in the Wild}},
  author    = {Shu, Changyong and Wu, Hemao and Zhou, Hang and Liu, Jiaming and Hong, Zhibin and Ding, Changxing and Han, Junyu and Liu, Jingtuo and Ding, Errui and Wang, Jingdong},
  booktitle = {Conference on Computer Vision and Pattern Recognition},
  year      = {2022},
  pages     = {10789-10798},
  doi       = {10.1109/CVPR52688.2022.01052},
  url       = {https://mlanthology.org/cvpr/2022/shu2022cvpr-fewshot/}
}