albertpumarola/GANimation
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
This helps animators and researchers create realistic facial expressions from a single photo. By adjusting specific facial muscle movements, known as Action Units, you can animate a static image to show various emotions or speech. This is useful for anyone working on character animation, virtual avatars, or studying facial expressions.
1,985 stars. No commits in the last 6 months.
Use this if you need to generate a wide range of anatomically consistent facial animations from a single input image.
Not ideal if you're looking for a simple, out-of-the-box tool for casual photo animation without understanding Action Units or dataset preparation.
Stars
1,985
Forks
408
Language
Python
License
GPL-3.0
Category
Last pushed
Dec 23, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/albertpumarola/GANimation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related models
NVIDIA/pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
GaParmar/clean-fid
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
yuanming-hu/exposure
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets,...
wuhuikai/GP-GAN
Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending...
yiranran/APDrawingGAN
Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical...