T2V-CompBench Leaderboard

What is T2V-CompBench Leaderboard ?

T2V-CompBench Leaderboard is a platform designed for benchmarking and evaluating video generation models. It provides a standardized framework for researchers and developers to submit their models, evaluate performance, and compare results with state-of-the-art methods. The leaderboard focuses on video-to-video (T2V) tasks, enabling seamless model submission and result visualization.

Features

• Model Submission: Allows users to submit their video generation models for evaluation.
• Standardized Metrics: Uses established metrics for fair and consistent model comparison.
• Real-Time Benchmarking: Provides up-to-date rankings and performance scores.
• Custom Metrics Support: Enables users to define specific evaluation criteria.
• Visualization Tools: Offers interactive charts and graphs to explore results in detail.
• Community Access: Encourages collaboration by sharing model performance data with the research community.
• ** Leaderboard Rankings**: Displays top-performing models for transparent competition.

How to use T2V-CompBench Leaderboard ?

1. Create an Account: Register on the platform to access submission and evaluation tools.
2. Prepare Your Model: Ensure your video generation model is compatible with the leaderboard's input requirements.
3. Submit Your Model: Upload your model and provide necessary metadata, such as model architecture and training details.
4. Evaluate Performance: The platform will run your model through predefined benchmarks and calculate metrics.
5. View Results: Explore your model's performance on the leaderboard and compare with others.
6. Refine and Resubmit: Use feedback from evaluations to improve your model and resubmit for better rankings.

Frequently Asked Questions

What metrics does the leaderboard use?
The leaderboard uses standardized metrics such as PSNR, SSIM, and FID score to evaluate video generation models. Custom metrics can also be defined by users.

How do I submit my model?
To submit your model, create an account, prepare your model in the required format, and follow the submission guidelines on the platform.

Can I access the source code of top-performing models?
No, the source code of submitted models is not shared publicly. Only performance metrics and model descriptions are available for comparison.