| harskish/ganspace |
1,593 |
|
0 |
0 |
about 4 years ago |
0 |
|
18 |
apache-2.0 |
Jupyter Notebook |
| Discovering Interpretable GAN Controls [NeurIPS 2020] |
| mit-han-lab/data-efficient-gans |
1,231 |
|
0 |
0 |
over 2 years ago |
0 |
|
25 |
bsd-2-clause |
Python |
| [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training |
| yunjey/domain-transfer-network |
862 |
|
0 |
0 |
almost 8 years ago |
0 |
|
10 |
mit |
Python |
| TensorFlow Implementation of Unsupervised Cross-Domain Image Generation |
| fboulnois/stable-diffusion-docker |
677 |
|
0 |
0 |
over 2 years ago |
0 |
|
6 |
agpl-3.0 |
Python |
| Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint. |
| anantzoid/Conditional-PixelCNN-decoder |
470 |
|
0 |
0 |
almost 8 years ago |
0 |
|
3 |
|
Python |
| Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network |
| shepnerd/inpainting_gmcnn |
324 |
|
0 |
0 |
about 4 years ago |
0 |
|
20 |
mit |
Python |
| Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018 |
| PacktPublishing/Hands-On-Image-Generation-with-TensorFlow-2.0 |
165 |
|
0 |
0 |
about 3 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| Hands-On Image Generation with TensorFlow 2.0, published by Packt |
| kvfrans/generative-adversial |
163 |
|
0 |
0 |
over 8 years ago |
0 |
|
3 |
|
Python |
| image generation via GANs |
| afruehstueck/tileGAN |
140 |
|
0 |
0 |
over 6 years ago |
0 |
|
3 |
gpl-3.0 |
Python |
| Code for TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures (SIGGRAPH 2019) |
| YangNaruto/FQ-GAN |
92 |
|
0 |
0 |
over 5 years ago |
0 |
|
6 |
|
Python |
| Official implementation of FQ-GAN |
