DragGAN
PTI
| DragGAN | PTI | |
|---|---|---|
| 9 | 4 | |
| 4,988 | 881 | |
| 0.4% | - | |
| 8.4 | 2.7 | |
| 10 months ago | 6 months ago | |
| Python | Jupyter Notebook | |
| - | MIT License |
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DragGAN
- NEW just released AI DragGAN is MIND-BLOWING! Revolutionary way to edit images.
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DragGAN the fastest preview!
Github https://github.com/Zeqiang-Lai/DragGAN Paper https://vcai.mpi-inf.mpg.de/projects/DragGAN/ Huggingface https://huggingface.co/spaces/radames/DragGan
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Is there anything like Drag your GAN in StableDiffusion/ControlNet?
there's an unofficial build with links to some other formats as well: https://github.com/Zeqiang-Lai/DragGAN
- Unofficial Implementation of DragGAN
- Zeqiang-Lai/DragGAN: Unofficial implementation of "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold"
- Unofficial DragGan open source code
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What Photoshop Can't Do, DragGAN Can! See How! Paper Explained, Along with Additional Supplementary Video Footage
An open source implementation of DragGAN can now be found at https://github.com/Zeqiang-Lai/DragGAN
PTI
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NEW just released AI DragGAN is MIND-BLOWING! Revolutionary way to edit images.
you can do it by yourself with specific tool https://github.com/danielroich/PTI. Autor of repository even made Google Colab notebook.
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So Draggan code is finally released
from Dragan readme: This GUI supports editing GAN-generated images. To edit a real image, you need to first perform GAN inversion using tools like PTI. Then load the new latent code and model weights to the GUI.
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[D] New SOTA StyleGAN2 inversion paper explained in 5 minutes: Pivotal Tuning for Latent-based Editing of Real Images (PTI) by Daniel Roich et al.
[Full Explanation Post] [Arxiv] [Code]
- [R] Finally, Actual Real images editing using StyleGAN
What are some alternatives?
stylegan-encoder - StyleGAN Encoder - converts real images to latent space
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
DragGAN - Official Code for DragGAN (SIGGRAPH 2023)
pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
sd-webui-dragGAN-extension - extension of stable diffusion webui for dragGAN
encoder4editing - Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766
pytorch-gans - PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace