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[WACV2025] 360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation

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360PanT (WACV-2025)

360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation

Hai WangJing-Hao Xue

Project arXiv

Jupyter Notebook and Datasets

Link Description
Open In Colab Google Colab of 360PanT [which can be run on Nvidia T4 (16G)]
Open In Colab Google Colab of 360PanT (F) [which can be run on Nvidia L4 (24GB)]
Datasets 360PanoI-Pan2Pan and 360syn-Pan2Pan
basis.zip semantic bases of indoors and outdoors for FreeControl and 360PanT (F)

Useful Tools

360 panoramic images viewer: It could be used to view the synthesized 360-degree panorama.

CLIP-score: It contains Google Colab to calculate the CLIP-score.

DINO-score: It contains Google Colab to calculate the DINO-score.

Citation

If you find the code helpful in your research or work, please cite our paper:

@article{wang2024360pant,
  title={360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation},
  author={Wang, Hai and Xue, Jing-Hao},
  journal={arXiv preprint arXiv:2409.08397},
  year={2024}
}

Acknowledgments

We thank MultiDiffusion, Plug-and-Play, FreeControl and StitchDiffusion. Our work is based on their excellent codes.

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[WACV2025] 360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation

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