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I'm Niels from the Hugging Face open-source team. I came across your interesting work on PERSE featured on Hugging Face Papers: https://huggingface.co/papers/2412.21206. The paper page offers a great platform to discuss your research and link to relevant artifacts. You can also claim the paper, which will be displayed on your Hugging Face profile.
Your method for creating personalized 3D generative avatars from a single portrait is fascinating! We believe hosting your code and the synthetic dataset you generated would be highly beneficial for the AI research community, enhancing the visibility and accessibility of your work.
Would you be interested in releasing your code and the synthetic dataset on the Hugging Face Hub?
For datasets, we offer a guide here: https://huggingface.co/docs/datasets/loading. Hosting your dataset on the Hub would allow users to easily access it using the datasets library:
Hello @HyunsooCha 🤗
I'm Niels from the Hugging Face open-source team. I came across your interesting work on PERSE featured on Hugging Face Papers: https://huggingface.co/papers/2412.21206. The paper page offers a great platform to discuss your research and link to relevant artifacts. You can also claim the paper, which will be displayed on your Hugging Face profile.
Your method for creating personalized 3D generative avatars from a single portrait is fascinating! We believe hosting your code and the synthetic dataset you generated would be highly beneficial for the AI research community, enhancing the visibility and accessibility of your work.
Would you be interested in releasing your code and the synthetic dataset on the Hugging Face Hub?
For models, you can find a guide here: https://huggingface.co/docs/hub/models-uploading. If your model is a custom PyTorch model, the PyTorchModelHubMixin class can simplify the process by adding
from_pretrained
andpush_to_hub
functionality. Alternatively, the hf_hub_download tool can be used for direct file uploads.For datasets, we offer a guide here: https://huggingface.co/docs/datasets/loading. Hosting your dataset on the Hub would allow users to easily access it using the
datasets
library:Once uploaded, we can link the code and dataset to your paper page, making it easier for others to discover and utilize your research.
Please let me know if you're interested or if you have any questions. I'd be happy to assist you with the upload process.
Kind regards,
Niels
ML Engineer @ Hugging Face 🤗
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