nageshsinghc4/Face-generation-GAN
Generate realistic human images that do not exist in reality using GAN
This tool generates highly realistic images of human faces that do not belong to real people. It takes a collection of existing face photos as input and learns to produce entirely new, synthetic faces that look authentic. This is useful for designers, content creators, or researchers who need unique human visages for various projects.
No commits in the last 6 months.
Use this if you need to create diverse, photorealistic human faces for fictional characters, marketing materials, or data augmentation without infringing on privacy or needing real individual photos.
Not ideal if you need to modify existing real faces, or if you require specific emotions or poses that are not present in your initial training data.
Stars
75
Forks
40
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 27, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/nageshsinghc4/Face-generation-GAN"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
junyanz/CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style...
aleju/face-generator
Generate human faces with neural networks
junyanz/iGAN
Interactive Image Generation via Generative Adversarial Networks
HyperGAN/HyperGAN
Composable GAN framework with api and user interface
cs-chan/ArtGAN
ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional...