T
t2v_metrics
linzhiqiu/t2v_metrics
Evaluating text-to-image/video/3D models with VQAScore
★599stars
Python
Apache-2.0
Updated: 6d ago
📋 Project at a Glance
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What's this?Models project leveraging generative-ai and vision-language-model, built with Python, open-source
Who made it?Maintained by linzhiqiu team, 599⭐ on GitHub, #1637 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the linzhiqiu team identified the need for better generative-ai solutions. t2v_metrics was created to simplify vision-language-model workflows.
What can it do?Key use cases: generative-ai, vision-language-model
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/linzhiqiu/t2v_metrics | 官网 https://linzhiqiu.github.io/papers/vqascore/
🔗 github.com/linzhiqiu/t2v_metrics | 官网 https://linzhiqiu.github.io/papers/vqascore/
Topics
generative-aivision-language-model