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# awesome-homography-estimation-and-image-alignment | ||
# awesome-homography-estimation-and-image-alignment[](https://github.com/sindresorhus/awesome) | ||
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This repo contains a curative list of **homography estimation, image alignment and related application**. | ||
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#### Please feel free to send me [pull requests](https://github.com/DoongLi/awesome-homography-estimation-and-image-alignment/blob/main/how-to-PR.md) or [email](mailto:[email protected]) to add papers! <br> | ||
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If you find this repository useful, please consider STARing this list. Feel free to share this list with others! | ||
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There are some similar repositories available, but it appears that they have not been maintained for a long time. | ||
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- https://github.com/tzxiang/awesome-image-alignment-and-stitching | ||
- https://github.com/visionxiang/awesome-computational-photography | ||
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## Overview | ||
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- [Awesome Homography Estimation and Image Alignment](#awesome-homography-estimation-and-image-alignment) | ||
- [Homography Estimation](#homography-estimation) | ||
- [Image Alignment](#image-alignment) | ||
- [Application](#application) | ||
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## Homography Estimation | ||
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#### 2024 | ||
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- **DMHomo**: Learning Homography with Diffusion Model, *ToG*. [[Paper](https://dl.acm.org/doi/full/10.1145/3652207)] [[Code](https://github.com/lhaippp/DMHomo)] | ||
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- **CrossHomo**: Cross-Modality and Cross-Resolution Homography Estimation, *TPAMI*. [[Paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10438073&casa_token=92CU3CFbsXIAAAAA:DJN1QCKXfj7pFYlSD4sLh33HUtBQ-BjhiBBRtBtUbcEHjKnSyduvywgyYvAnI9UJW7MkOboG&tag=1)] [[Code](https://github.com/lep990816/CrossHomo)] | ||
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#### 2023 | ||
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- Edge-aware Correlation Learning for Unsupervised Progressive Homography Estimation, *TCSVT*. [[Paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10314523&casa_token=86gKd0-dQBUAAAAA:VJbu9XBitO-BQPYhu2uwW0FI5EMaH2YshfkBnuoHC4jtkCWN8jFEFm2A2Y_Bd5-DU0SChWJP)] | ||
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- Unsupervised Global and Local Homography Estimation with Motion Basis Learning, *TPAMI*. [[Paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9956874&casa_token=-Tp9JpW764gAAAAA:NkiBmmnJ3WHrxXjm5DeEFFXna8haxfiG52I5pWptORdbvSeU2vVZtDl8Y95jbkiIJYnSk2ql)] [[Code](https://github.com/megvii-research/BasesHomo)] | ||
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- Supervised Homography Learning with Realistic Dataset Generation, *ICCV*. [[Paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Jiang_Supervised_Homography_Learning_with_Realistic_Dataset_Generation_ICCV_2023_paper.pdf)] [[Code](https://github.com/JianghaiSCU/RealSH)] | ||
- Keyword: realistic dataset generation; | ||
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- Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint, *AAAI*. [[Paper](https://ojs.aaai.org/index.php/AAAI/article/download/25183/24955)] [[Code](https://github.com/megvii-research/LBHomo)] | ||
- Keyword: large baseline dataset; | ||
- Supervised Homography Learning with Realistic Dataset Generation, *ICCV*. [[Paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Jiang_Supervised_Homography_Learning_with_Realistic_Dataset_Generation_ICCV_2023_paper.pdf)] [[Code](https://github.com/JianghaiSCU/RealSH)] | ||
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#### 2022 | ||
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- Iterative deep homography estimation, *CVPR*. [[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Cao_Iterative_Deep_Homography_Estimation_CVPR_2022_paper.pdf)] [[Code](https://github.com/imdumpl78/IHN)] | ||
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- Unsupervised Homography Estimation with Coplanarity-Aware GAN, *CVPR*. [[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Hong_Unsupervised_Homography_Estimation_With_Coplanarity-Aware_GAN_CVPR_2022_paper.pdf)] [[Code](https://github.com/megvii-research/HomoGAN)] | ||
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- Content-Aware Unsupervised Deep Homography Estimation and its Extensions, *TPAMI*. [[Paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9771389&casa_token=djckIfXYqkwAAAAA:JMgJoTIIS3fdc6yhjrOIhyepJpqHNZSfpa81XQbCeW4oMvV9Mm38ayLqklpdrQcWvcL2Dy7O)] | ||
- Keyword: journal version; | ||
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#### 2021 | ||
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- Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection, *ICCV*. [[Paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Ye_Motion_Basis_Learning_for_Unsupervised_Deep_Homography_Estimation_With_Subspace_ICCV_2021_paper.pdf)] [[Code](https://github.com/megvii-research/BasesHomo)] | ||
- Deep Lucas-Kanade Homography for Multimodal Image Alignment, *CVPR*. [[Paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Zhao_Deep_Lucas-Kanade_Homography_for_Multimodal_Image_Alignment_CVPR_2021_paper.pdf)] [[Code](https://github.com/placeforyiming/CVPR21-Deep-Lucas-Kanade-Homography)] | ||
- Depth-aware multi-grid deep homography estimation with contextual correlation. [[Paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9605632&casa_token=lop5MaMA40cAAAAA:ypyRTM-TzDD7-tVTJ7ndk0fT6zxNdmVvjtz4DD6uSrE-qjjagoEKdsy6NcRP49GGItZC_li5)] [[Code](https://github.com/nie-lang/Multi-Grid-Deep-Homography)] | ||
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#### 2020 | ||
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- Deep homography estimation for dynamic scenes. [[Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Le_Deep_Homography_Estimation_for_Dynamic_Scenes_CVPR_2020_paper.pdf)] [[Code](https://github.com/lcmhoang/hmg-dynamics)] | ||
- Content-aware unsupervised deep homography estimation, *ECCV*. [[Paper](https://arxiv.org/pdf/1909.05983)] [[Code](https://github.com/JirongZhang/DeepHomography)] | ||
- keyword: small baseline dataset; | ||
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#### 2019 | ||
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#### 2018 | ||
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- **Unsupervised deep homography**: A fast and robust homography estimation model, *RAL*. [[Paper](https://ieeexplore.ieee.org/document/8302515)] [[Unofficial_Code1]()] | ||
- Keyword: | ||
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#### 2016 | ||
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- Deep image homography estimation, *arXiv*. [[Paper](https://arxiv.org/pdf/1606.03798)] [[Unofficial_Code1](https://github.com/yishiliuhuasheng/deep_image_homography_estimation)] [[Unofficial_Code2](https://github.com/paeccher/Deep-Homography-Estimation-Pytorch)] | ||
- Keyword: frist learning-based homography estimation method; realistic dataset generation; | ||
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## Image Alignment | ||
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#### 2023 | ||
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- **PRISE**: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment. *CVPR*. [[Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Zhang_PRISE_Demystifying_Deep_Lucas-Kanade_With_Strongly_Star-Convex_Constraints_for_Multimodel_CVPR_2023_paper.pdf)] [[Code](https://github.com/swiftzhang125/PRISE)] | ||
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#### 2020 | ||
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- Cross-Weather Image Alignment via Latent Generative Model With Intensity Consistency, *TIP*. [[Paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9046236&casa_token=hVGip0b16QAAAAAA:6DucWFNMk96qPsGxf_B9l1dKctCyNB4LNtb1fjsdhInXR2w3MGS9WflinZCK8TlLTvQ2-Y0y)] | ||
- A view-free image stitching network based on global homography, *Journal of Visual Communication and Image Representation*. [[Paper](https://www.sciencedirect.com/science/article/pii/S1047320320301784?casa_token=j4oKVYUdERcAAAAA:NvpUUuh4sK_sfz2eaD8IcfwPcIzIMTkwAo0wDC6A90713r_DxxUnvKZfwhZx2C4U5nmQuR7XUg)] [[Code](https://github.com/nie-lang/DeepImageStitching-1.0)] | ||
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## Application | ||
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#### 2024 | ||
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- Deep Homography Estimation for Visual Place Recognition, *AAAI*. [[Paper](https://arxiv.org/pdf/2402.16086v1)] [[Code](https://github.com/Lu-Feng/DHE-VPR)] | ||
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#### 2021 | ||
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- **Weather GAN**: Multi-Domain Weather Translation Using Generative Adversarial Networks, *arXiv*. [[Paper](https://arxiv.org/pdf/2103.05422)] [[Code]()] |
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#### This document references the content from [here](https://github.com/zubair-irshad/Awesome-Implicit-NeRF-Robotics/blob/main/how-to-PR.md). | ||
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Suggesstions/ paper updates/ any contributions to this list are most welcome! Please feel free to *open issues* or *create pull requests* as follows: <br> | ||
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Modify the README.md and follow the format | ||
``` | ||
* ** Short Title**: TITLE, CONFERENCE. [[Paper/DOC](link)] [[Code](link)] [[Website](link)] | ||
(optional)* * Keyword: xxx1, xxx2; | ||
``` | ||
For example: | ||
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* Deep image homography estimation, *arXiv*. [[Paper](https://arxiv.org/pdf/1606.03798)] [[Code]()] | ||
- keyword: frist learning-based homography estimation method; realistic dataset generation; |