JoJoGAN VS articulated-animation

I've tried style transfer and some GANs like this one: https://github.com/mchong6/JoJoGAN

🔗 https://github.com/mchong6/JoJoGAN

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.

Code for https://arxiv.org/abs/2112.11641 found: https://github.com/mchong6/JoJoGAN

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.

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

github: https://github.com/mchong6/JoJoGAN

🔗 https://github.com/snap-research/articulated-animation

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.