articulated-animation
JoJoGAN
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| articulated-animation | JoJoGAN | |
|---|---|---|
| 4 | 11 | |
| 1,182 | 1,400 | |
| 2.6% | - | |
| 3.7 | 0.0 | |
| about 2 months ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
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articulated-animation
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✨ Best Computer Vision Projects with Source Code 🚀
🔗 https://github.com/snap-research/articulated-animation
- Motion Representations for Articulated Animation (2021)
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[D] SOTA Image Animation from Video?
I saw a post possibly on here or /r/futurology a few days ago that showed some pretty amazing results for animating images using a driving video, like this from Snap Research. I didn't save the post and wanted to read the paper, but was also wondering if this is still an active research area or not. It felt like lots of work was being done a couple years ago but I haven't seen much lately.
- Code for Motion Representations for Articulated Animation
JoJoGAN
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Can anyone tell me what type of model can do this?
I've tried style transfer and some GANs like this one: https://github.com/mchong6/JoJoGAN
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✨ Best Computer Vision Projects with Source Code 🚀
🔗 https://github.com/mchong6/JoJoGAN
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Does any anybody know how to write a dataloader script for JoJoGAN training?
And I quite liked and wanted to train this model with my own dataset, and always fell into the same error CUDA Out of Memory again and again. After searching across the internet for answers ended up finding it -> here.
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In A Latest Computer Vision Research, Researchers Introduce ‘JoJoGAN’: An AI Method With One-Shot Face Stylization
Code for https://arxiv.org/abs/2112.11641 found: https://github.com/mchong6/JoJoGAN
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Style Transfer from multiple style sources?
Since you want to use multiple images for style, it reminded me of this pipeline. In it you can take a dataset of style images and finetune a pretrained model for 500-1000 iterations to achieve the style from these images on new ones. I am not sure if that pipeline is what you need or not though, because it is built for faces in particular, but maybe you can take inspiration from their approach for a generic method.
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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
- Official PyTorch repo for JoJoGAN: One Shot Face Stylization
- JoJoGAN: One Shot Face Stylization
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[R] JoJoGAN: One Shot Face Stylization
github: https://github.com/mchong6/JoJoGAN
What are some alternatives?
first-order-model - This repository contains the source code for the paper First Order Motion Model for Image Animation
AnimeGANv3 - Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
Thin-Plate-Spline-Motion-Model - [CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
ArcaneGAN - ArcaneGAN
shap - A game theoretic approach to explain the output of any machine learning model.
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
fastbook - The fastai book, published as Jupyter Notebooks
toonify
VRT - VRT: A Video Restoration Transformer (official repository)
AnimeGANv2 - [Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime
RelTR - RelTR: Relation Transformer for Scene Graph Generation: https://arxiv.org/abs/2201.11460v2
pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework