MessyKitchens: Contact-rich object-level 3D scene reconstruction

MessyKitchens: Contact-rich object-level 3D scene reconstruction | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/messykitchens-contact-rich-object-level-3d-scene-reconstruction

stale

Proof freshness: stale
Proof status: unverified
Display score: 8/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

Agent Handoff

Canonical ID messykitchens-contact-rich-object-level-3d-scene-reconstruction | Route /signal-canvas/messykitchens-contact-rich-object-level-3d-scene-reconstruction

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/messykitchens-contact-rich-object-level-3d-scene-reconstruction

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 8

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: MessyKitchens: Contact-rich object-level 3D scene reconstruction

PDF: https://arxiv.org/pdf/2603.16868v1

Source count: Pending verification

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

Signal Canvas receipt window

Watch and verify: MessyKitchens: Contact-rich object-level 3D scene reconstruction

/buildability/messykitchens-contact-rich-object-level-3d-scene-reconstruction

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Subject: MessyKitchens: Contact-rich object-level 3D scene reconstruction

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Preparing verified analysis

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
we introduce MessyKitchens, a new dataset with real-world scenes featuring cluttered environments and providing high-fidelity object-level ground truth in terms of 3D object shapes, poses and accurate object contacts
Implicationpartial
Explicitly stated in the abstract as a key contribution of the work
Verificationpartial
partial
Evidencepartial
We also compare our multi-object reconstruction approach on three datasets and demonstrate consistent and significant improvements of MOD over the state of the art
Implicationpartial
Directly stated in abstract with clear comparison to state of the art
Verificationpartial
partial
Evidencepartial
we demonstrate MessyKitchens to significantly improve previous datasets in registration accuracy and inter-object penetration
Implicationpartial
Explicitly stated in abstract as a validation of the dataset contribution
Verificationpartial
partial
Evidencepartial
we build on the recent SAM 3D approach for single-object reconstruction and extend it with Multi-Object Decoder (MOD) for joint object-level scene reconstruction
Implicationpartial
Directly stated in abstract as the technical approach
Verificationpartial
partial
Evidencepartial
applications in robotics and animation require physically-plausible scene reconstruction where objects obey physical principles of non-penetration and realistic contacts
Implicationpartial
Explicitly stated in abstract as motivation and addressed by the dataset and method
Verificationpartial
partial
Evidencepartial
reconstructing and decomposing common scenes into individual 3D objects remains a hard challenge due to the large variety of objects, frequent occlusions and complex object relations
Implicationmissing
Implication not extracted yet.
Verificationpartial
partial
Evidencepartial
Monocular 3D scene reconstruction has recently seen significant progress
Implicationpartial
Explicitly stated in abstract as the input modality
Verificationpartial
partial
Evidencepartial
In this work we advance object-level scene reconstruction along two directions
Implicationpartial
Explicitly stated in abstract as the structure of contributions
Verificationpartial
partial

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MessyKitchens: Contact-rich object-level 3D scene reconstruction

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