3260 papers • 126 benchmarks • 313 datasets
Image credit: "JoJoGAN: One Shot Face Stylization"
(Image credit: Papersgraph)
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Qualitative and quantitative evaluation show that JoJoGAN produces high quality high resolution images that vastly outperform the current state-of-the-art.
This paper explores deformation-aware face stylization that diverges from traditional single-image style reference, opting for a real-style image pair instead, and achieves notable efficiency with a fine-tuning duration of approximately 10 minutes.
A set of quantitative and qualitative evaluations demonstrate that the proposed method can produce highly stylized face meshes according to a given style and output them in a desired topology.
Adding a benchmark result helps the community track progress.