xiaojieli0903 / genview

[ECCV 2024] Official repository of "GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning".
https://arxiv.org/abs/2403.12003
Apache License 2.0
23 stars 1 forks source link

Genview on Hugging Face #1

Open merveenoyan opened 1 month ago

merveenoyan commented 1 month ago

Hello @xiaojieli0903 🤗

I'm Merve and I work on computer vision at Hugging Face. I see your paper is accepted as ECCV Posters congratulations! I indexed it here https://huggingface.co/papers/2403.12003 at paper pages. The paper page lets people discuss about your paper and lets them find artifacts about it (your model for instance) you can also claim the paper as yours which will show up on your public profile at HF.

I see you're going to release the models. Would you like to host the model you've pre-trained with this technique on https://huggingface.co/models? Hosting on Hugging Face will give your work more visibility.

If you're down, leaving a guide here. If it's a PyTorch model, you can use 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 to your model on Spaces we can provide you an A100 grant.

What do you think?

xiaojieli0903 commented 1 month ago

Hello @xiaojieli0903 🤗

I'm Merve and I work on computer vision at Hugging Face. I see your paper is accepted as ECCV Posters congratulations! I indexed it here https://huggingface.co/papers/2403.12003 at paper pages. The paper page lets people discuss about your paper and lets them find artifacts about it (your model for instance) you can also claim the paper as yours which will show up on your public profile at HF.

I see you're going to release the models. Would you like to host the model you've pre-trained with this technique on https://huggingface.co/models? Hosting on Hugging Face will give your work more visibility.

If you're down, leaving a guide here. If it's a PyTorch model, you can use 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 to your model on Spaces we can provide you an A100 grant.

What do you think?

Hello Merve,

Thank you for reaching out and for indexing our paper on Hugging Face. We would be happy to upload our pre-trained models and the generated training set to Hugging Face for the community to use and test. We plan to release these models around the time of the ECCV conference.

Thank you for your guidance, and if we have any further questions, we'll be sure to contact you promptly.

Best regards, Xiaojie Li

merveenoyan commented 1 month ago

@xiaojieli0903 thanks a lot for the response! feel free to ask questions (also I'm at ECCV, will try to find your session :)