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pith:VNNROT63

pith:2026:VNNROT63JR6ARBJIIJCYZOLK3R
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R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow

Chunchao Guo, Lixin Xu, Puhua Jiang, Sicong Liu, Xiang Bai, Zijie Wu

A learned rectification jump offset aligns arbitrary input mesh poses to video starting frames before animation.

arxiv:2605.13838 v2 · 2026-05-13 · cs.CV · cs.GR · cs.LG

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\pithnumber{VNNROT63JR6ARBJIIJCYZOLK3R}

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

our method introduces a novel VAE that explicitly disentangles the input into a conditional base mesh, relative motion trajectories, and a crucial rectification jump offset. This offset is learned to automatically transform the arbitrary pose of the input mesh to match the video's initial state before animation begins.

C2weakest assumption

That a learned rectification jump offset can reliably map arbitrary input mesh poses onto the video's starting frame without introducing geometric distortion or breaking downstream physical consistency enforced by Triflow Attention.

C3one line summary

R-DMesh generates high-fidelity 4D meshes aligned to video by disentangling base mesh, motion, and a learned rectification jump offset inside a VAE, then using Triflow Attention and rectified-flow diffusion.

References

208 extracted · 208 resolved · 27 Pith anchors

[1] Abril and Robert Plant 2007 · doi:10.1145/1188913.1188915
[2] Deciding equivalances among conjunctive aggregate queries 2007 · doi:10.1145/1219092.1219093
[3] Special issue: Digital Libraries. 1996 1996
[4] Understanding Policy-Based Networking 2001
[7] Editor (Ed.), title The title of book two , The name of the series two, edition 2nd 2008 · doi:10.1007/3-540-09237-4

Formal links

1 machine-checked theorem link

Receipt and verification
First computed 2026-05-18T02:44:14.853411Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

ab5b174fdb4c7c08852842458cb96adc495fc2940cdae784767b1fef7583c2e1

Aliases

arxiv: 2605.13838 · arxiv_version: 2605.13838v2 · doi: 10.48550/arxiv.2605.13838 · pith_short_12: VNNROT63JR6A · pith_short_16: VNNROT63JR6ARBJI · pith_short_8: VNNROT63
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VNNROT63JR6ARBJIIJCYZOLK3R \
  | 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: ab5b174fdb4c7c08852842458cb96adc495fc2940cdae784767b1fef7583c2e1
Canonical record JSON
{
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    "abstract_canon_sha256": "bc8fc254ad6e40329f435b41dd4d93ee522dd62f7807560d0ca1cb75d9d3187e",
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      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-13T17:58:13Z",
    "title_canon_sha256": "c624af89cfbe43a3d0ea3c54e6132bde36c3d13927b413263b8a32de6f02fdf5"
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  "source": {
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    "kind": "arxiv",
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