IBRSteG

💾 Checkpoints

To keep this repository lightweight, all model checkpoints are hosted on Hugging Face.

Please download the required weights and place them in your local model_zoo/ directory.

Quick Download via CLI:

mkdir -p model_zoo
wget [https://huggingface.co/lingxiang2023/IBRSteG/resolve/main/model_zoo/gps_plus_final.pth](https://huggingface.co/lingxiang2023/IBRSteG/resolve/main/model_zoo/gps_plus_final.pth) -O model_zoo/gps_plus_final.pth
wget [https://huggingface.co/lingxiang2023/IBRSteG/resolve/main/model_zoo/ibrsteg_test_weight.pth](https://huggingface.co/lingxiang2023/IBRSteG/resolve/main/model_zoo/ibrsteg_test_weight.pth) -O model_zoo/ibrsteg_test_weight.pth

Note: The original full checkpoint (~489 MB, containing optimizer/scheduler states) has been trimmed to the inference-only ibrsteg_test_weight.pth (~163 MB, containing explicitly formulated camera parameter steganographic keys and minimal metadata) for faster evaluation.

Links & Citation

If you find our work useful in your research, please consider citing our paper and starring the repository:

• Paper (arXiv): [2606.30024] IBRSteG: Learning a Generalizable Steganography Framework for 3D Gaussian Splatting
• Code (GitHub): LingXiang2023/IBRSteG

@article{kong2026ibrsteg,
  title={IBRSteG: Learning a Generalizable Steganography Framework for 3D Gaussian Splatting},
  author={Kong, Fanye and others},
  journal={arXiv preprint arXiv:2606.30024},
  year={2026}
}

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license: mit
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