--- 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. --- ### 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.*