https://github.com/mohdabdulrahman89/video-t1

Official Implementation of Video-T1: Test-Time Scaling for Video Generation
https://github.com/mohdabdulrahman89/video-t1

aigc chain-of-thought dotnet dxmap test-time-scaling video video-generation wpf xpf

Last synced: 7 months ago
JSON representation

Official Implementation of Video-T1: Test-Time Scaling for Video Generation

• Host: GitHub
• URL: https://github.com/mohdabdulrahman89/video-t1
• Owner: MOHDABDULRAHMAN89
• License: mit
• Created: 2025-03-29T03:09:55.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2025-03-29T04:22:52.000Z (7 months ago)
• Last Synced: 2025-03-29T04:25:15.415Z (7 months ago)
• Topics: aigc, chain-of-thought, dotnet, dxmap, test-time-scaling, video, video-generation, wpf, xpf
• Language: Python
• Size: 7.25 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Video-T1: Test-Time Scaling for Video Generation

**Official Implementation of Video-T1: Test-Time Scaling for Video Generation**

![Video Generation](https://source.unsplash.com/800x400/?video)

## Overview

Welcome to the official repository for Video-T1, a groundbreaking approach to test-time scaling for video generation. This project aims to provide a comprehensive solution for enhancing the quality and efficiency of video generation processes. Please explore the following sections to learn more about Video-T1 and how you can leverage it for your video generation needs.

## Features

- **AI-Generated Content (AIGC):** Utilize advanced AI algorithms to create realistic video content.

- **Chain of Thought:** Seamlessly generate interconnected frames to form a coherent video sequence.

- **Test-Time Scaling:** Enhance video generation speed and scalability without compromising quality.

## Repository Topics

- aigc

- chain-of-thought

- test-time-scaling

- video

- video-generation

## Getting Started

To download the latest release of Video-T1 and begin using it, click the button below:

[![Download Video-T1](https://img.shields.io/badge/Download-Video--T1-blue.svg)](https://github.com/MOHDABDULRAHMAN89/Video-T1/releases)

**Note:** Please refer to the "Releases" section if the provided link is not accessible.

## Usage

1. Download the necessary files from the link provided above.

2. Execute the appropriate file to initiate the Video-T1 application.

3. Follow the on-screen instructions to utilize the features of Video-T1 effectively.

## Support

For any questions, issues, or feedback related to Video-T1, please feel free to reach out to the repository owner or create a new issue on GitHub. We are committed to providing prompt assistance to ensure a smooth user experience.

## Contribute

Join us in enhancing Video-T1 by contributing to its development. Whether you are a developer, designer, or AI enthusiast, your insights and expertise are valuable to us. Fork the repository, make your enhancements, and submit a pull request for review.

Let's collaborate to make Video-T1 even better!

## Acknowledgements

We would like to express our gratitude to all contributors and supporters of Video-T1. Your contributions and feedback have been instrumental in shaping this project and driving its success.

Thank you for being a part of the Video-T1 community!

---

Visit the [Video-T1 Repository](https://github.com/MOHDABDULRAHMAN89/Video-T1) for more information.