Hi @lilinyuanvr 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Papers with Code as yours got featured: https://paperswithcode.co/paper/2606.30047.
The paper page lets people discuss about your paper and find associated artifacts. It is awesome that you already hosted your Argus model and a Space demo on Hugging Face!
Would you also like to host the Realsee3D dataset on https://huggingface.co/datasets?
Hosting on Hugging Face will provide better visibility and allow users to load the dataset easily with:
from datasets import load_dataset
dataset = load_dataset("realsee-developer/Realsee3D")If you are interested, you can find a guide here: https://huggingface.co/docs/datasets/loading. We also support WebDataset, which is highly efficient for image/video-heavy datasets. Additionally, there is a built-in dataset viewer that allows people to explore the metadata and samples directly in their browser.
After uploading, we can link both the model and the dataset to your Arxiv paper page so that the community can discover your work easily.
Let me know if you are interested or need any guidance!
Kind regards,
Niels
Hi @lilinyuanvr 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Papers with Code as yours got featured: https://paperswithcode.co/paper/2606.30047.
The paper page lets people discuss about your paper and find associated artifacts. It is awesome that you already hosted your Argus model and a Space demo on Hugging Face!
Would you also like to host the Realsee3D dataset on https://huggingface.co/datasets?
Hosting on Hugging Face will provide better visibility and allow users to load the dataset easily with:
If you are interested, you can find a guide here: https://huggingface.co/docs/datasets/loading. We also support WebDataset, which is highly efficient for image/video-heavy datasets. Additionally, there is a built-in dataset viewer that allows people to explore the metadata and samples directly in their browser.
After uploading, we can link both the model and the dataset to your Arxiv paper page so that the community can discover your work easily.
Let me know if you are interested or need any guidance!
Kind regards,
Niels