harskish/ganspace
Discovering Interpretable GAN Controls [NeurIPS 2020]
Applies PCA in activation space to discover interpretable edit directions across GAN layers, enabling fine-grained semantic controls like viewpoint and lighting without retraining. Supports BigGAN, StyleGAN, and StyleGAN2 with both Z and W latent spaces, featuring interactive exploration tools and layer-wise edit composition for precise image synthesis manipulation.
1,797 stars. No commits in the last 6 months.
Stars
1,797
Forks
266
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jan 20, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/harskish/ganspace"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
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]
albertpumarola/GANimation
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
yuanming-hu/exposure
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets,...
yiranran/APDrawingGAN
Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical...