Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Page Freshness
Canonical route: /signal-canvas/motioncrafter-dense-geometry-and-motion-reconstruction-with-a-4d-vae
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 motioncrafter-dense-geometry-and-motion-reconstruction-with-a-4d-vae | Route /signal-canvas/motioncrafter-dense-geometry-and-motion-reconstruction-with-a-4d-vae
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/motioncrafter-dense-geometry-and-motion-reconstruction-with-a-4d-vaeMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "motioncrafter-dense-geometry-and-motion-reconstruction-with-a-4d-vae",
"query_text": "Summarize MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE",
"normalized_query": "2602.08961",
"route": "/signal-canvas/motioncrafter-dense-geometry-and-motion-reconstruction-with-a-4d-vae",
"paper_ref": "motioncrafter-dense-geometry-and-motion-reconstruction-with-a-4d-vae",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 8
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE
PDF: https://arxiv.org/pdf/2602.08961v1
Source count: Pending verification
Coverage: 33%
Last proof check: 2026-03-19T21:31:49.672Z
Signal Canvas receipt window
/buildability/motioncrafter-dense-geometry-and-motion-reconstruction-with-a-4d-vae
Subject: MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE
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 8.0
No public code linked for this paper yet.
delivering 38.64% and 25.0% improvements in geometry and motion reconstruction, respectively
Explicitly stated numeric result in the abstract.
partial
delivering 38.64% and 25.0% improvements in geometry and motion reconstruction, respectively
Explicitly stated numeric result in the abstract.
partial
its performance may degrade in poorly lit or fast-moving scenes.
Directly stated limitation in the analysis excerpt.
partial
we show that such alignment is unnecessary and leads to suboptimal performance.
Direct claim in the abstract about a core methodological insight.
partial
The core of our method is a novel joint representation of dense 3D point maps and 3D scene flows... and a novel 4D VAE to effectively learn this representation.
Core method claim explicitly stated in both the abstract and analysis.
partial
all without any post-optimization.
Explicitly stated in the abstract and reinforced in the method_eval analysis.
partial
we introduce a new data normalization and VAE training strategy that better transfers diffusion priors and greatly improves reconstruction quality.
Direct claim in the abstract about a key technical contribution.
partial
The system requires high-quality video input to produce accurate reconstructions
Directly stated requirement in the analysis excerpt.
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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Ruijie Zhu
NTU
Jiahao Lu
HKUST
Wenbo Hu
ARC Lab, Tencent PCG
Xiaoguang Han
CUHK(SZ)
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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/motioncrafter-dense-geometry-and-motion-reconstruction-with-a-4d-vae
Paper ref
motioncrafter-dense-geometry-and-motion-reconstruction-with-a-4d-vae
arXiv id
2602.08961
Generated at
2026-03-19T21:31:49.672Z
Evidence freshness
stale
Last verification
2026-03-19T21:31:49.672Z
Sources
0
References
0
Coverage
33%
Lineage hash
2ab274e21167a22a78129595cd4812c34f4d531c4fc1753f82febf2b334f111d
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.
Verification pending / evidence receipt incomplete
repo_url
references