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Project arXiv Maintenance PR's Welcome


Awesome Panoramic Vision


📢 If you are aware of new relevant papers, we kindly ask you to submit them via a GitHub Issue.
They will be considered for inclusion in the next version of the manuscript. 🙏

We are focusing on the development of panoramic vision.

For more detailed information, please refer to our survey paper: One Flight Over the Gap: A Survey from Perspective to Panoramic Vision (Project Page, arXiv, Github)

main_fig

💖 Citation

If you find value in our survey paper or curated collection, please consider citing our work and starring our repo to support us.

@article{lin2025panorama,
  title={One Flight Over the Gap: A Survey from Perspective to Panoramic Vision},
  author={Lin, Xin and Ge, Xian and Zhang, Dizhe and Wan, Zhaoliang and Wang, Xianshun and Li, Xiangtai and Jiang, Wenjie and Du, Bo and Tao, Dacheng and Yang, Ming-Hsuan and Qi, Lu},
  journal={arXiv},
  year={2025}
}

🌈 Contents

🚀Visual Quality Enhancement

🍇Super Resolution

🍉Image:

🍉Video:

🍇Reflection Removal:

🍇Restoration

🍉Denoising:

🍉Deblurring:

🍉Dehazing:

🍇Quality Assessment

🍉Image:

🍉Video:

🚀Visual Understanding

🍇Segmentation:

🍇Mapping:

🍇Detection:

🍇Tracking:

🍇Pose Estimation:

🍇Saliency Prediction:

🍉Image:

🍉Video:

🍇Layout Estimation:

🍇Optical Flow Estimation:

🍇Keypoint Matching:

🍇Decomposition:

🍇Lighting Estimation:

🍇Depth Estimation:

🚀Multimodel

🍇Audio:

🍇Ladar:

🍇Text:

🚀Visual Generation

🍇Text-guided Generation:

🍉T2I:

🍉T2V:

🍉Text to video:

🍉App.:

🍇Completion:

🍉Image:

🍉Video:

🍇Novel View Synthesis:

🍉NeRF:

🍉3DGS:

🍉Lightweight:

Acknowledgements: We borrow this template from Awesome Controllable T2I Diffusion Models

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