Facial feature for image retrieval and for copying to another image
Facial feature for image retrieval and for copying to another image
Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval
arXiv paper abstract https://arxiv.org/abs/2107.06256
arXiv PDF paper https://arxiv.org/pdf/2107.06256.pdf
We present Retrieve in Style (RIS), an unsupervised framework for fine-grained facial feature transfer and retrieval on real images.
... RIS improves existing art on:
1) feature disentanglement and allows for challenging transfers (i.e., hair and pose) that were not shown possible in SoTA methods.
2) eliminating the need for per-image hyperparameter tuning, and for computing a catalog over a large batch of images.
3) enabling face retrieval using the proposed facial features (e.g., eyes), and to our best knowledge, is the first work to retrieve face images at the fine-grained level.
4) robustness and natural application to real images.
... RIS achieves both high-fidelity feature transfers and accurate fine-grained retrievals on real images.
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