Release HyPER-GAN artifacts (models, dataset) on Hugging Face

[NielsRogge]

Hi @stefanos50 🤗

Niels here from 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, datasets or demo 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.

It'd be great to make the checkpoints and your carla2real dataset available on the 🤗 hub, to improve their discoverability/visibility. We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.

Uploading models

I see you've included pre-trained weights in the pretrained_models folder of your repository. Moving them to the Hub would allow users to leverage tools like hf_hub_download or even build integration directly into your inference scripts. See here for a guide: https://huggingface.co/docs/hub/models-uploading.

We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page.

Uploading dataset

Would be awesome to make the carla2real dataset available on 🤗 as well. I see you're currently using Kaggle for it. Hosting on Hugging Face will give you more visibility and will also allow people to do:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/carla2real")

Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser. You can find a guide here: https://huggingface.co/docs/datasets/loading.

Let me know if you're interested/need any help regarding this!

Cheers,

Niels
ML Engineer @ HF 🤗