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MvKE-FC

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.

FC loss optimization.

FC_loss_optimization

Results

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).

Databases

Contact

If you have any questions or suggestions about the paper, feel free to reach me (caobing@tju.​edu.cn / [email protected]).

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Multi-view Knowledge Ensemble with Frequency Consistency for Face Cross-Domain Translation

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