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FaceLLaVA

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  # Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning
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  [![arXiv](https://img.shields.io/badge/arXiv-2305.00000v1-b31b1b.svg)](https://arxiv.org/abs/2504.07198)
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- [![Model Weights](https://img.shields.io/badge/Download%20Weights-USC%20GDrive-green)](https://drive.google.com/file/d/1TAZE70WlqY1rQJIzdJ9x7P7IopyYSlfk/view?usp=sharing)
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  [![Python](https://img.shields.io/badge/Python-3.10+-blue.svg)](https://www.python.org/)
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  This is the official released weights of of the **WACV 2026 Round 1** Early Accept paper (6.4% acceptance rate) - Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning. Please refer to the [official github repository](https://github.com/ihp-lab/face-llava) for instructions to run inference.
 
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+ ---
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+ license: other
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+ language:
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+ - en
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+ base_model:
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+ - lmsys/vicuna-7b-v1.5
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+ ---
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  # Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning
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  [![arXiv](https://img.shields.io/badge/arXiv-2305.00000v1-b31b1b.svg)](https://arxiv.org/abs/2504.07198)
 
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  [![Python](https://img.shields.io/badge/Python-3.10+-blue.svg)](https://www.python.org/)
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  This is the official released weights of of the **WACV 2026 Round 1** Early Accept paper (6.4% acceptance rate) - Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning. Please refer to the [official github repository](https://github.com/ihp-lab/face-llava) for instructions to run inference.