Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Canonical route: /signal-canvas/objectmorpher-3d-aware-image-editing-via-deformable-3dgs-models
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Canonical ID objectmorpher-3d-aware-image-editing-via-deformable-3dgs-models | Route /signal-canvas/objectmorpher-3d-aware-image-editing-via-deformable-3dgs-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/objectmorpher-3d-aware-image-editing-via-deformable-3dgs-modelsMCP example
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"query": "ObjectMorpher: 3D-Aware Image Editing via Deformable 3DGS Models",
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}Claims: 8
References: 84
Proof: Verification pending
Freshness state: computing
Source paper: ObjectMorpher: 3D-Aware Image Editing via Deformable 3DGS Models
PDF: https://arxiv.org/pdf/2603.28152v1
Source count: 3
Coverage: 50%
Last proof check: 2026-03-31T20:20:37.308Z
Signal Canvas receipt window
/buildability/objectmorpher-3d-aware-image-editing-via-deformable-3dgs-models
Subject: ObjectMorpher: 3D-Aware Image Editing via Deformable 3DGS Models
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Preparing verified analysis
Dimensions overall score 7.0
No public code linked for this paper yet.
our approach enables manipulation of both 6-DoF pose and non-rigid shape within 3D space.
Directly stated in the analysis section comparing to OBJECT-3DIT and Neural Assets, which are described as providing only rigid control.
partial
We choose the 3DGS output over the mesh decoder of TRELLIS for its better fidelity and editability... achieving higher realism and smoother gradients for manipulation.
Explicitly stated with reasoning about the advantages of 3DGS over mesh decoders in terms of fidelity and editability.
partial
the core Interactive Drag stage achieves a near-instantaneous latency of 10 ms,
Direct numeric claim provided in the runtime comparison section.
partial
ObjectMorpher delivers fine-grained, photorealistic edits with superior controllability and efficiency, outperforming 2D drag and 3D-aware baselines on KID, LPIPS, SIFID, and user preference.
Explicitly stated in the abstract as a key result, though specific numeric values are not provided in the given excerpts.
partial
using only Laplacian deformation... often distorts the local geometry. This is particularly evident under large rotations.
Directly stated in the ablation study section comparing deformation methods.
partial
The runtime of ObjectMorpher is primarily spent on Object Lifting (~10 s) and Diffusion Refinement (~10 s),
Direct numeric claim about runtime breakdown provided in the runtime comparison section.
partial
Image Sculpting relies on slow per-image SDS/textual inversion, limiting precision and efficiency and requiring over half an hour per image.
Direct numeric claim about competitor's limitations provided in the analysis section.
partial
We adopt an as-rigid-as-possible (ARAP) deformation model to preserve local shape rigidity while allowing intuitive, non-rigid manipulation.
Directly stated in the technical description of the deformation method.
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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Time to first demo
Insufficient data
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Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/objectmorpher-3d-aware-image-editing-via-deformable-3dgs-models
Paper ref
objectmorpher-3d-aware-image-editing-via-deformable-3dgs-models
arXiv id
2603.28152
Generated at
2026-03-31T20:20:37.308Z
Evidence freshness
stale
Last verification
2026-03-31T20:20:37.308Z
Sources
3
References
84
Coverage
50%
Lineage hash
ff8315a8c9ef6f3ef074a12227ea002ee549a29499ded148c623d30ef1caf92d
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
84 refs / 3 sources / Verification pending
repo_url
proof_status