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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Deep Learning for Camera Calibration and Beyond: A Survey
| Date | Stars |
|---|---|
| 2026-07-31 | 755 |
| 2026-08-06 | 755 |
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# Awesome-Deep-Camera-Calibration [](https://arxiv.org/abs/2303.10559) [](https://github.com/sindresorhus/awesome) [](https://GitHub.com/Naereen/StrapDown.js/graphs/commit-activity) [](http://makeapullrequest.com) [](https://github.com/Naereen/StrapDown.js/blob/master/LICENSE) <!-- [](http://commonmark.org) --> <!-- [](http://ansicolortags.readthedocs.io/?badge=latest) -->  **<div align="center">Popular calibration objectives, models, and extended applications in camera calibration</div>** More content and details can be found in our Survey Paper: [Deep Learning for Camera Calibration and Beyond: A Survey](https://arxiv.org/abs/2303.10559). ## 🚩Contents 1. [Basics](#Basics) 2. [Taxonomy and Statistics](#Taxonomy-and-Statistics) 3. [Benchmark](#Benchmark) 4. [Novel Calibration Representations](#Novel-Calibration-Representations) 4. [Methods](#Methods) 5. [Datasets](#Datasets) 6. [Citation](#Citation) 7. [Handbook in Chinese](#Handbook-in-Chinese) 8. [Project and Course using Our Survey](#Project-and-Course-using-Our-Survey) ## 📢 News Our recent work **Puffin** can unify the camera-centric understanding (camera calibration, pose estimation) and generation (camera-controllable T2I and I2I generation) within a cohesive multimodal framework. It enables more precise understanding and generation performance by our proposed *thinking with camera*, and provides insights on the meaningful mutual effect among multimodal tasks. If you are interested in the camera-related 3D vision, photography, embodied AI, and spatial intelligence, please check out more details [here](https://kangliao929.github.io/projects/puffin/). ## 📝 Changelog - [x] 2025.02.24: Update the [Novel Calibration Representations](#Novel-Calibration-Representations) in the learning-based camera calibration, which show the potential to replace the traditional calibration objectives for neural networks. - [x] 2025.02.24: Update the literature reviews for 2023 and 2024 (more than 100 new papers!). Please refer more details to our [arXiv-v3 version](https://arxiv.org/abs/2303.10559v3). - [x] 2024.06.05: Update the survey paper (supplementary material) with the evaluation on the constructed benchmark. - [x] 2024.06.05: Update the survey paper (Section 3.3.3-Calibration with Reconstruction) with more technical discussions with NeRF, especially in the camera parameter initialization. - [x] 2024.06.04: More details about the calibrated camera parameters in our [Benchmark](https://github.com/KangLiao929/Awesome-Deep-Camera-Calibration/blob/main/Benchmark/readme.md) are updated. - [x] 2024.01.05: The benchmark is released. Please refer to the dataset link and more details in [Benchmark](https://github.com/KangLiao929/Awesome-Deep-Camera-Calibration/blob/main/Benchmark/readme.md). - [x] 2023.03.19: The survey of the arXiv version is online. ## 📖Basics * [Multiple View Geometry in Computer Vision](https://cseweb.ucsd.edu/classes/sp13/cse252B-a/HZ2eCh2.pdf) - Hartley, R., & Zisserman, A. (2004) * [A Flexible New Technique for Camera Calibration](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/tr98-71.pdf) - Zhengyou Zhang. (2000) ## 📊Taxonomy and Statistics  **<div align="center">The structural and hierarchical taxonomy of camera calibration with deep learning. Some classical methods are listed under each category.</di
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matched fp:3f3039b6b25763e7, llm:Repository title and description: 'Deep Learning for Camera Calibration and Beyond: A Survey' — an 'Awesome' list of deep camera calibration resources (survey/collection).
matched fp:3f3039b6b25763e7, llm:Repository title and description: 'Deep Learning for Camera Calibration and Beyond: A Survey' — an 'Awesome' list of deep camera calibration resources (survey/collection).