upload model weights
Browse files- README.md +39 -3
- ckpt_TMQA_adapted.pth +3 -0
- ckpt_TSMD_adapted.pth +3 -0
- ckpt_YN2023_adapted.pth +3 -0
README.md
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# HybridMQA Checkpoint
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This repository hosts the model weights for **HybridMQA**, a full-reference quality assessment method for 3D colored meshes. HybridMQA leverages both geometry and texture representations and models their interactions to predict perceptual quality scores.
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📄 Paper: [arXiv:2412.01986](https://arxiv.org/abs/2412.01986)
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🌐 Project Page: [https://arshafiee.github.io/hybridmqa/](https://arshafiee.github.io/hybridmqa/)
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💻 Codebase: [GitHub Repository](https://github.com/arshafiee/hybridmqa)
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## Usage
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Download the checkpoint using:
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```python
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from huggingface_hub import hf_hub_download
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ckpt_path = hf_hub_download(
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repo_id="arshafiee/hybridmqa-checkpoint",
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filename="ckpt_adapted.pth"
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)
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```
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## Citation
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If you use this work in your research, please cite:
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```bibtex
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@article{sarvestani2024hybridmqa,
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title={HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment},
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author={Sarvestani, Armin Shafiee and Tang, Sheyang and Wang, Zhou},
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journal={arXiv preprint arXiv:2412.01986},
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year={2024}
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}
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```
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## License
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This model is released under the MIT License.
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ckpt_TMQA_adapted.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:aeca7127c5bfeb1bb341a48cdf26ee0a88c08586c111565815c0f8bad5ddf236
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size 295003858
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ckpt_TSMD_adapted.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:b9abb6bdf4161652b64d12581b2ca79ee66782e509896c9d2296b673904d9d1b
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size 295003858
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ckpt_YN2023_adapted.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:f4656276155565dd2a074b50947bd0990d064324957b5b213a59bf6755f7e8e2
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size 295007002
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