flynnmd/deconvfaces
Generating faces with deconvolution networks
This project helps researchers and artists create synthetic human faces. By inputting existing facial image datasets, it generates a variety of new faces, which can be random, smoothly transitioning, or interpolating between specific emotional states and identities. It's designed for someone interested in generating diverse facial images for experiments or creative work.
892 stars. No commits in the last 6 months.
Use this if you need to generate realistic, synthetic human faces with control over aspects like identity, emotion, and quantity.
Not ideal if you need to generate images beyond human faces or require precise control over highly specific facial features like orientation, which the model struggles to learn.
Stars
892
Forks
129
Language
Python
License
MIT
Category
Last pushed
Jun 08, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/flynnmd/deconvfaces"
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