ganspace
PTI
| ganspace | PTI | |
|---|---|---|
| 3 | 4 | |
| 1,766 | 881 | |
| - | - | |
| 0.0 | 2.7 | |
| over 1 year ago | 6 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ganspace
- Enforcing AE (and/or VAE) latent vector parameters to learn specific features?
- [P][OC] 3 years ago, we made the music video Jean-Pierre using neural style transfert, optical flow, and Deep dream. Today we release "Inbreed For Thalassa", with auto-morphing, using Generative Adversarial Network, deep-dreaming and glitchs.
- [D] Generating faces with different angles
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?
GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN
stylegan-encoder - StyleGAN Encoder - converts real images to latent space
pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
DragGAN - Official Code for DragGAN (SIGGRAPH 2023)
ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
ru-dalle - Generate images from texts. In Russian
Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
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