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Wild-SLAM

Tasks:
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Modalities:
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Formats:
imagefolder
Size:
10K - 100K
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Tags:
slam
3d-reconstruction
monocular
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License:
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sfeges Jianhao97 commited on
Commit
f43b2d1
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Duplicate from gradient-spaces/Wild-SLAM

Browse files

Co-authored-by: Jianhao <Jianhao97@users.noreply.huggingface.co>

Files changed (27) hide show
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  3. Mocap/scene1/crowd.zip +3 -0
  4. Mocap/scene1/nvs_meta_data.json +3 -0
  5. Mocap/scene1/person_tracking.zip +3 -0
  6. Mocap/scene1/racket.zip +3 -0
  7. Mocap/scene1/stones.zip +3 -0
  8. Mocap/scene1/table_tracking1.zip +3 -0
  9. Mocap/scene1/table_tracking2.zip +3 -0
  10. Mocap/scene1/umbrella.zip +3 -0
  11. Mocap/scene1_static/static1.zip +3 -0
  12. Mocap/scene1_static/static2.zip +3 -0
  13. Mocap/scene1_static/static3.zip +3 -0
  14. Mocap/scene2/ANYmal1.zip +3 -0
  15. Mocap/scene2/ANYmal2.zip +3 -0
  16. Mocap/scene2/nvs_meta_data.json +3 -0
  17. Mocap/scene2_static/static1.zip +3 -0
  18. Mocap/scene2_static/static2.zip +3 -0
  19. Mocap/scene2_static/static3.zip +3 -0
  20. README.md +25 -0
  21. iPhone/parking.zip +3 -0
  22. iPhone/piano.zip +3 -0
  23. iPhone/shopping.zip +3 -0
  24. iPhone/street.zip +3 -0
  25. iPhone/tower.zip +3 -0
  26. iPhone/wall.zip +3 -0
  27. iPhone/wandering.zip +3 -0
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - image-to-3d
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+ tags:
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+ - slam
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+ - 3d-reconstruction
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+ - monocular
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+ ---
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+
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+ This repository contains data for WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments.
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+
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+ [Paper](https://huggingface.co/papers/2504.03886) | [Project Page](https://wildgs-slam.github.io/) | [Code](https://github.com/GradientSpaces/WildGS-SLAM)
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+
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+ WildGS-SLAM accurately tracks the camera trajectory and reconstructs a 3D Gaussian map for static elements from a monocular video sequence, effectively removing dynamic components.
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+
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+
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+ ### Datasets Used
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+
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+ WildGS-SLAM uses data from the following datasets:
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+
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+ * **Wild-SLAM Mocap Dataset:** ([Hugging Face](https://huggingface.co/datasets/gradient-spaces/Wild-SLAM/tree/main/Mocap)) Download instructions are available in the [github repository](https://github.com/GradientSpaces/WildGS-SLAM).
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+ * **Wild-SLAM iPhone Dataset:** ([Hugging Face](https://huggingface.co/datasets/gradient-spaces/Wild-SLAM/tree/main/iPhone)) Download instructions are available in the [github repository](https://github.com/GradientSpaces/WildGS-SLAM).
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+ * **Bonn Dynamic Dataset:** ([Website](https://www.ipb.uni-bonn.de/data/rgbd-dynamic-dataset/index.html)) Download instructions are available in the [github repository](https://github.com/GradientSpaces/WildGS-SLAM).
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+ * **TUM RGB-D (dynamic) Dataset:** Download instructions are available in the [github repository](https://github.com/GradientSpaces/WildGS-SLAM).
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