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IQA-T1
zibuyu-02/IQA-T1
IQA-T1 is a machine learning model from zibuyu-02. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repository provides the pretrained weights of IQA-T1 built on the Qwen3-VL-4B-Instruct backbone.
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At a glance
- License
- mit
- Model type
- qwen3_vl
- Access
- Public
- Created
- Jul 14, 2026
- Updated
- Jul 16, 2026
- SHA
- 084747af
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Model card
From the Hugging Face model README
IQA-T1
[ECCV 2026] IQA-T1: Tool-based Visual Evidence Reasoning for Image Quality Assessment
This repository provides the pretrained weights of IQA-T1 built on the Qwen3-VL-4B-Instruct backbone.
Quick Links
- 📄 Paper
- 💻 GitHub
- 🎮 Online Demo
- 📊 Q-Tool Dataset
Usage
See the GitHub repository for training and inference code, or try the online demo directly in your browser.
Citation
@inproceedings{wu2026iqat1,
title={IQA-T1: Tool-based Visual Evidence Reasoning for Image Quality Assessment},
author={Wu, Jinjian and Tang, Jiaqi and Wei, Wei and Yan, Yingying and Chen, Jianmin and Geng, Botong and Zhang, Lei and Chen, Qifeng},
booktitle={European Conference on Computer Vision (ECCV)},
year={2026}
}
- Type
- qwen3_vl
- License
- mit
- Created
- Jul 14, 2026
- Updated
- Jul 16, 2026