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import gradio as gr
import random
_TITLE = '''
# Sparc3D: Next-Gen High-Resolution 3D Model Generation
'''
_DESCRIPTION = '''
## Powered by Math Magic AI Research, NTU & IC | [Arxiv](https://arxiv.org/abs/2505.14521) | [Project Page](https://lizhihao6.github.io/Sparc3D/) | [Product Platform Hitem3D](https://hitem3d.ai/)
'''
_INFO1 = '''
### Our demo page is back online on Hugging Face! 🎉
'''
_CITE_ = r"""
---
📝 **Citation**
If you find our work useful for your research or applications, please cite using this bibtex:
```bibtex
@article{li2025sparc3d,
title = {Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling},
author = {Li, Zhihao and Wang, Yufei and Zheng, Heliang and Luo, Yihao and Wen, Bihan},
journal = {arXiv preprint arXiv:2505.14521},
year = {2025}
}
```
📧 **Contact**
Your feedback means a lot to us. Feel free to share your thoughts or reach out anytime at [email protected] — we’d love to hear from you!
"""
html = '''
<!DOCTYPE html>
<html>
<body>
<iframe id="myIframe" width="100%" height="1125" frameborder="0"></iframe>
</body>
</html>
'''
script = '''
function createGradio() {
const urls = [
"https://3dserver.hitem3d.ai/"
];
const randomIndex = Math.floor(Math.random() * urls.length);
document.getElementById("myIframe").src = urls[randomIndex];
}
'''
with gr.Blocks(js=script) as demo:
gr.Markdown(_TITLE)
gr.Markdown(_DESCRIPTION)
gr.Markdown(_INFO1)
gr.HTML(html)
gr.Markdown(_CITE_)
if __name__ == "__main__":
demo.launch() |