---
license: cc-by-nc-3.0
pipeline_tag: image-to-3d
tags:
- art
- Mathematics
- Maths
- SVECTOR
- ManiFold
---
# ManiFold
## Overview
ManiFold, developed by SVECTOR, features cutting-edge AI models designed for high performance across diverse domains. It delivers scalability, efficiency, and state-of-the-art results. This document provides an in-depth guide on the capabilities of the ManiFold models and how to integrate them into your applications.
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### 3D Construction Demo (CAR)
### 3D Construction Demo (TV)
## Installation
To get started, ensure your environment meets these requirements:
- **Python Version**: 3.8 or higher
- **Dependencies**:
- `torch`
- `safetensors`
- `numpy`
Install the dependencies using:
```bash
pip install torch safetensors numpy
```
---
## Features
- **State-of-the-Art Performance**: Designed for efficiency and scalability.
- **Flexible Integration**: Compatible with modern machine learning frameworks.
- **Versatile Applications**: Suitable for tasks ranging from image analysis to advanced AI workflows.
---
## Example Use Cases
1. **3D Reconstruction**: Generate sparse and dense 3D models with high accuracy.
2. **Image Analysis**: Leverage advanced image conditioning for enhanced visual processing.
3. **AI Workflow Integration**: Streamline AI tasks with robust model capabilities.
---
## Support
For assistance or inquiries, please contact us:
- **Email**: ai@svector.co.in
- **Website**: [SVECTOR](https://www.svector.co.in)
---
## License
This project is licensed under the **SVECTOR Proprietary License**. Refer to the `LICENSE` file for more details.
---
license: cc-by-nc-3.0
---
## Credits
- **Developed by**: SVECTOR
---
**Tagline**: *Empowering the Future with Intelligent Solutions.*