This repository contains more results for the paper:
Multi-view Knowledge Ensemble with Frequency Consistency for Face Cross-Domain Translation
Bing Cao, Qinghe Wang, Pengfei Zhu, Dongwei Ren, Wangmeng Zuo, Qinghua Hu
This paper is the first to address cross-domain face translation problem by ensembling multi-view knowledge from models trained on large-scale database designed for related tasks. And we further design the frequency consistent loss (mPrewitt loss and Gaussian fuzzy loss) to better fuse multi-view knowledge.
We provide more experimental results in the folders:
Each image has two faces:
- Input face
- Translated face
The results can also be downloaded from Google Drive, or from Baidu Drive with password 1895 (Results on CUFSF are here).
If you have any questions or suggestions about the paper, feel free to reach me (caobing@tju.edu.cn / [email protected]).





