Release Neural Atlas Graphs (NAGs) on Hugging Face #3
Description
Hi @jp-schneider 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability.If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models for instance),
you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.
I saw on your GitHub repository (https://github.com/jp-schneider/nag) that the code for Neural Atlas Graphs (NAGs) is "currently being refactored, polished, and thoroughly documented for a full public release" in the coming weeks. This sounds fantastic, and we're excited about the potential of NAGs for dynamic scene decomposition and editing!
Would you like to host the pre-trained NAGs model checkpoints on https://huggingface.co/models once they are ready?
Hosting on Hugging Face will give you more visibility/enable better discoverability. We can add tags in the model cards so that people find the models easier, link it to the paper page, etc. Given that NAGs represent dynamic scenes to enable 2D appearance editing and 3D ordering, a relevant pipeline tag could be image-to-3d.
If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin
class which adds from_pretrained and push_to_hub to the model which lets you to upload the model and people to download and use models right away.
If you do not want this and directly want to upload model through UI or however you want, people can also use hf_hub_download.
After uploaded, we can also link the models to the paper page (read here) so people can discover your model.
You can also build a demo for your model on Spaces, we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels