Hi @bochsim 🤗
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, and add Github and project page URLs.
I saw on your project page that the code for FindAnything will be integrated into the OKVIS2-X repository soon. Would you like to host the framework and any associated pre-trained model checkpoints (such as the depth networks like stereo-indoor-sigma.pt mentioned in your README) on https://huggingface.co/models?
Hosting on Hugging Face will give your work more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, link them to the paper page, etc.
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. Alternatively, people can use hf_hub_download to fetch specific checkpoints.
You can also build a demo for your mapping framework on Spaces; we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested or need any guidance :)
Kind regards,
Niels
Hi @bochsim 🤗
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, and add Github and project page URLs.
I saw on your project page that the code for FindAnything will be integrated into the OKVIS2-X repository soon. Would you like to host the framework and any associated pre-trained model checkpoints (such as the depth networks like
stereo-indoor-sigma.ptmentioned in your README) on https://huggingface.co/models?Hosting on Hugging Face will give your work more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, link them to the paper page, etc.
If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto the model. Alternatively, people can use hf_hub_download to fetch specific checkpoints.You can also build a demo for your mapping framework on Spaces; we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested or need any guidance :)
Kind regards,
Niels