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pith:X43KUQV7

pith:2026:X43KUQV7HJ5PKLVCVJWC3JAWJV
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DecoRec: Decomposed 3D Scene Reconstruction from Single-View Images via Object-Level Diffusion

Cheng Lin, Jianyi Zheng, Jia Pan, Junhui Hou, Peng Wang, Xiaoxiao Long, Xin Li, Yuan Liu, Yuhan Ping

DecoRec reconstructs 3D scenes from single-view images by diffusing objects individually then refining their merge.

arxiv:2605.16807 v1 · 2026-05-16 · cs.CV

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4 Citations open
5 Replications open
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Claims

C1strongest claim

DecoRec facilitates high-quality single-view scene reconstruction in both geometry and novel synthesis by reconstructing individual objects separately with diffusion models and merging them via a refinement pipeline using differentiable rendering and diffusion guidance.

C2weakest assumption

That high-quality per-object reconstructions can be merged without introducing major geometric or appearance inconsistencies that the subsequent refinement pipeline cannot reliably correct.

C3one line summary

DecoRec decomposes single-view 3D scene reconstruction into per-object diffusion reconstructions followed by a differentiable rendering and diffusion-guided merging pipeline.

References

95 extracted · 95 resolved · 9 Pith anchors

[1] High- resolution image synthesis with latent diffusion models 2022
[2] Monoscene: Monocular 3d semantic scene completion, 2022
[3] Corenet: Coherent 3d scene reconstruction from a single rgb image, 2020
[4] To- tal3dunderstanding: Joint layout, object pose and mesh reconstruction for indoor scenes from a single image, 2020
[5] Psdr-room: Single photo to scene using differentiable rendering, 2023

Formal links

1 machine-checked theorem link

Receipt and verification
First computed 2026-05-20T00:03:23.291719Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

bf36aa42bf3a7af52ea2aa6c2da4164d587aeb9865598082c7e3d4dee1f0d1d0

Aliases

arxiv: 2605.16807 · arxiv_version: 2605.16807v1 · doi: 10.48550/arxiv.2605.16807 · pith_short_12: X43KUQV7HJ5P · pith_short_16: X43KUQV7HJ5PKLVC · pith_short_8: X43KUQV7
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/X43KUQV7HJ5PKLVCVJWC3JAWJV \
  | 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: bf36aa42bf3a7af52ea2aa6c2da4164d587aeb9865598082c7e3d4dee1f0d1d0
Canonical record JSON
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    "abstract_canon_sha256": "03d525ce6999795ed658a2615a9d655130e4f7836dc7be555a779d63a7137dfe",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-16T04:23:48Z",
    "title_canon_sha256": "b6db7a54d19d5dd20e388ae5a1d84635cc71e0c2c5ff230d1b7f7728aadfc7bb"
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