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pith:ZIWHXRAR

pith:2026:ZIWHXRAR3RQ2OYY3BGWVQCD7US
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Holo360D: A Large-Scale Real-World Dataset with Continuous Trajectories for Advancing Panoramic 3D Reconstruction and Beyond

Hui Xiong, Jing Ou, Jinjing Zhu, Shuai Zhang, Tongyan Hua, Wufan Zhao, Yinrui Ren, Zhuoxiao Li, Zidong Cao

Holo360D supplies the first large-scale dataset of continuous panoramic sequences with aligned high-completeness depth maps.

arxiv:2604.22482 v2 · 2026-04-24 · cs.CV · cs.GR

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Claims

C1strongest claim

To our knowledge, Holo360D is the first large-scale dataset that provides continuous panoramic sequences with accurately aligned high-completeness depth maps. Our results demonstrate that Holo360D delivers superior training signals and provides a comprehensive benchmark for advancing panoramic 3D reconstruction models.

C2weakest assumption

The post-processing pipeline (geometry denoising, mesh hole filling, region-specific remeshing) combined with online and offline SLAM produces sufficiently accurate alignments and high-completeness depth maps without introducing significant artifacts or biases that would limit model training effectiveness.

C3one line summary

Holo360D is the first large-scale dataset providing continuous panoramic sequences with accurately aligned high-completeness depth maps and meshes for training panoramic 3D reconstruction models.

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First computed 2026-06-09T02:07:26.798260Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

ca2c7bc411dc61a7631b09ad58087fa49da69f8e4eb2470c191bb875e5b44924

Aliases

arxiv: 2604.22482 · arxiv_version: 2604.22482v2 · doi: 10.48550/arxiv.2604.22482 · pith_short_12: ZIWHXRAR3RQ2 · pith_short_16: ZIWHXRAR3RQ2OYY3 · pith_short_8: ZIWHXRAR
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZIWHXRAR3RQ2OYY3BGWVQCD7US \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: ca2c7bc411dc61a7631b09ad58087fa49da69f8e4eb2470c191bb875e5b44924
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
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    "submitted_at": "2026-04-24T12:03:27Z",
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