GAP-LAB-CUHK-SZ / GAP-LAB-CUHK-SZ/ReconViaGen

Release ReconViaGen model on Hugging Face

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Dominant language
Python
Stars
646
Forks
21
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Description

Hi @Jiahao620 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and your project page: https://jiahao620.github.io/reconviagen.
The paper page (https://huggingface.co/papers/2510.23306) 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, add Github and project page URLs.

I saw from your GitHub repository (https://github.com/GAP-LAB-CUHK-SZ/ReconViaGen) that the complete model for ReconViaGen is planned for release later, but the code open source process is currently undergoing a company review. That's completely understandable!

It's great that you already have an Alpha Demo on Hugging Face Spaces (https://huggingface.co/spaces/Stable-X/ReconViaGen). When the time comes and you are ready to openly release your pre-trained model checkpoints, we would be thrilled to help you host them on https://huggingface.co/models.
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can help add relevant metadata tags to the model card (e.g., `image-to-3d` for 3D object reconstruction), link it directly to your paper page, and provide `from_pretrained` and `push_to_hub` functionalities via our `PyTorchModelHubMixin` for easy integration.

If you're interested in learning more or need any guidance for when you are ready to upload the model, please don't hesitate to reach out! We're here to help make the process as smooth as possible.

Kind regards,

Niels
ML Engineer @ HF 🤗

Contributor guide

No contributing guide indexed for this repository

Research direction

The issue names no implementation files or tests; start by checking the ReconViaGen repository's current release status and the existing Alpha Demo on Hugging Face Spaces. Confirm that the company review is complete, then follow the Hugging Face hosting guidance described here for the pretrained checkpoints, model card metadata, paper link, and integration.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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