JoJoGAN
gan-vae-pretrained-pytorch
Our great sponsors
JoJoGAN | gan-vae-pretrained-pytorch | |
---|---|---|
11 | 1 | |
1,400 | 162 | |
- | - | |
0.0 | 0.0 | |
over 1 year ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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.
JoJoGAN
-
✨ Best Computer Vision Projects with Source Code 🚀
🔗 https://github.com/mchong6/JoJoGAN
-
Is there a AI which is able to edit images to make them look drawn?
Here are some models that do that with face images that I have tried out: AnimeGANv3 - this one just came out ArcaneGAN - for faces JoJoGAN - for faces
gan-vae-pretrained-pytorch
We haven't tracked posts mentioning gan-vae-pretrained-pytorch yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
AnimeGANv3 - Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
ArcaneGAN - ArcaneGAN
AvatarGAN - Generate Cartoon Images using Generative Adversarial Network
pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
toonify
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
pytorch-image-classification - Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN
RefinementGAN - Official implementation of the paper: https://arxiv.org/abs/2108.04957