GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks

Facial landmarks constitute the most compressed representation of faces and are known to preserve information such as pose, gender and facial structure present in the faces.

Data and Resources

Cite this as

Xing Di, Vishwanath A. Sindagi, Vishal M. Patel (2024). Dataset: GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks. https://doi.org/10.57702/dccaxfik

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Author Xing Di
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Vishwanath A. Sindagi
Vishal M. Patel
Homepage https://github.com/DetionDX/GP-GAN-Gender-Preserving-GAN-for-Synthesizing-Faces-from-Landmarks