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release: bump to v1.1 and update citation for Phase II
- Cite the Zenodo concept DOI (10.5281/zenodo.17826242) so it always resolves
to the latest version; no per-release DOI edits needed going forward
- Bump version to 1.1, set release date 2026-06-25, citation year 2026
- CITATION.cff: remove duplicate author entry (Pan, Cihui)
- Website: replace placeholder DOI identifier, update JSON-LD version/dateModified
- Sync changelog date to 2026-06-25 (README + website)
Note: publish the v1.1 record on Zenodo so the concept DOI resolves to it.
Copy file name to clipboardExpand all lines: README.md
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## 📋 Changelog
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***2026-06-24:** Phase II data released — per-viewpoint pixel-wise semantic segmentation (`segment.png`) for both real-world and synthetic scenes. Real-world maps are current-model predictions (not manual annotation); ground-truth annotations are planned for a future release. See [DATASET_STRUCTURE.md](DATASET_STRUCTURE.md) for details.
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***2026-06-25:** Phase II data released — per-viewpoint pixel-wise semantic segmentation (`segment.png`) for both real-world and synthetic scenes. Real-world maps are current-model predictions (not manual annotation); ground-truth annotations are planned for a future release. See [DATASET_STRUCTURE.md](DATASET_STRUCTURE.md) for details.
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***2025-12-05:** Phase I data(RGB-D pano and extrinsics) released.
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***2025-11-28:** Dataset introduction and official website release.
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```
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@misc{Li2025realsee3d_data,
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doi = {10.5281/zenodo.17826243},
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url = {https://doi.org/10.5281/zenodo.17826243},
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doi = {10.5281/zenodo.17826242},
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url = {https://doi.org/10.5281/zenodo.17826242},
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author = {Li, Linyuan and Wu, Yan and Li, Xi and Wang, Lingli and Rao, Tong and Zhou, Jie and Pan, Cihui and Hui, Xinchen},
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title = {Realsee3D: A Large-Scale Multi-View RGB-D Dataset of Indoor Scenes (Version 1.0)},
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title = {Realsee3D: A Large-Scale Multi-View RGB-D Dataset of Indoor Scenes (Version 1.1)},
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"description": "Realsee3D is a large-scale multi-view RGB-D dataset designed to advance research in indoor 3D perception, reconstruction, and scene understanding. It contains 10,000 complete indoor scenes, composed of 1,000 real-world scenes captured by Galois-P4 LiDAR and 9,000 synthetic scenes procedurally generated from real floorplans.",
"measurementTechnique": "LiDAR scanning and synthetic rendering",
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"variableMeasured": [
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{
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<divclass="content-block">
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<h2itemprop="name">Changelog</h2>
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<ulitemprop="articleBody">
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<li><strong><timedatetime="2026-06-24">2026-06-24</time>:</strong> Phase II data released — per-viewpoint pixel-wise semantic segmentation (<code>segment.png</code>) for both real-world and synthetic scenes. Real-world maps are current-model predictions (not manual annotation); ground-truth annotations are planned for a future release.</li>
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<li><strong><timedatetime="2026-06-25">2026-06-25</time>:</strong> Phase II data released — per-viewpoint pixel-wise semantic segmentation (<code>segment.png</code>) for both real-world and synthetic scenes. Real-world maps are current-model predictions (not manual annotation); ground-truth annotations are planned for a future release.</li>
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<li><strong><timedatetime="2025-12-05">2025-12-05</time>:</strong> Phase I data(RGB-D pano and extrinsics) release.</li>
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<li><strong><timedatetime="2025-11-28">2025-11-28</time>:</strong> Dataset introduction and official website release.</li>
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