Top AI Repos — open-source AI, indexed and scored
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.
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.
Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.
| Date | Stars |
|---|---|
| 2026-07-24 | 545 |
| 2026-07-25 | 546 |
| 2026-07-28 | 546 |
| 2026-07-30 | 546 |
| 2026-07-31 | 547 |
| 2026-08-09 | 547 |
| 2026-08-10 | 547 |
| 2026-08-17 | 547 |
| 2026-08-29 | 546 |
| 2026-09-06 | 547 |
| 2026-09-09 | 547 |
| 2026-09-10 | 548 |
| 2026-09-12 | 549 |
| 2026-09-20 | 549 |
Today
— stars today
This week
— stars this week
This month
+2 stars this month
Momentum
0.0
growth rate 0.00%/day
<div align="center"> [](https://github.com/colmap/colmap) [](https://github.com/openMVG/openMVG) [](https://github.com/micmacIGN/micmac)  [](https://github.com/kornia/kornia) [](https://github.com/kornia/kornia) [](https://github.com/3DOM-FBK/deep-image-matching/releases) [](https://3dom-fbk.github.io/deep-image-matching/) </div> # DEEP-IMAGE-MATCHING | SIFT | DISK | IMAGES ORIENTATION | DENSE WITH ROMA | | ----------------------------------------------------- | ------------------------------------------------------- | --------------------------------------------------------- | --------------------------------------------------- | | <img src='docs/assets/matches_sift.gif' height="100"> | <img src='docs/assets/matches_joined.gif' height="100"> | <img src='docs/assets/orientation_deep.gif' height="100"> | <img src='docs/assets/roma_dense.gif' height="100"> | | SIFT | SUPERGLUE | | ----------------------------------------------------- | --------------------------------------------------------- | | <img src='docs/assets/temple_rsift.gif' height="165"> | <img src='docs/assets/temple_superglue.gif' height="165"> | Multivew matcher for SfM software. Support both deep-learning based and hand-crafted local features and matchers and export keypoints and matches directly in a COLMAP database or to Agisoft Metashape by importing the reconstruction in Bundler format. Now, it supports both OpenMVG and MicMac. Feel free to collaborate! For how to use DIM, check the <a href="https://3dom-fbk.github.io/deep-image-matching/">Documentation</a> (updated for the master branch). **Please, note that `deep-image-matching` is under active development** and it is still in an experimental stage. If you find any bug, please open an issue. **For the licence of individual local features and matchers please refer to the authors' original projects**. Key features: - Multiview - Large format images - SOTA deep-learning and hand-crafted features - Support for image rotations - Compatibility with several SfM software - Support image retrieval with deep-learning local features - Graph-based clustering - Run SfM directly in DIM (pycolmap, openmvg, etc) ### Supported Extractors | Algorithm | Year | Paper link | Github link | Notes | | --------- | ---- | ----------- | ---------- | ----- | | RIPE | 2025 | [link](https://arxiv.org/abs/2507.04839) | [link](https://github.com/fraunhoferhhi/RIPE) | supported | | RDD sparse | 2025 | [link](https://arxiv.org/abs/2505.08013) | [link](https://github.com/xtcpete/rdd) | supported | | LiftFeat | 2025 | [link](https://www.arxiv.org/abs/2505.03422) | [link](https://github.com/lyp-deeplearning/LiftFeat) | supported | | XFeat | 2024 | [link](https://arxiv.org/abs/2404.19174) | [link](https://github.com/verlab/accelerated_features) | supported | | DeDoDe | 2024 | [link](https://arxiv.org/abs/2308.08479) | [link](https://github.com/Parskatt/DeDoDe) | only GPU | | ALIKED | 2023 | [link](https://arxiv.org/pdf/2304.03608) | [link](https://github.com/Shiaoming/ALIKED) | supported | | SRIF | 2023 | [link](https://www.sci
Excerpt of 15,579 characters
Read on GitHub
609
409
31
4
2
2
2
2
1
1
1
1
1
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:9afd2315f408ca2e, topic:deep-learning
matched fp:9afd2315f408ca2e, topic:slam