Add pipeline tag, library name, and paper link to model card
#1
by
nielsr
HF Staff
- opened
README.md
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license: mit
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---
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license: mit
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pipeline_tag: video-to-text
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library_name: transformers
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---
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This repository contains the AIGVE-MACS model, a unified model for AI-Generated Video Evaluation (AIGVE), as presented in the paper [AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation](https://huggingface.co/papers/2507.01255).
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AIGVE-MACS is designed to provide both numerical scores and multi-aspect language comment feedback for AI-generated videos. It leverages Vision-Language Models with a novel token-wise weighted loss and a dynamic frame sampling strategy to align with human evaluators.
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This model is compatible with the Hugging Face `transformers` library.
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