pith:SC4LSGB3
Eulerian Motion Guidance: Robust Image Animation via Bidirectional Geometric Consistency
Adjacent-frame Eulerian motion fields with bidirectional cycle checks guide diffusion-based image animation without drift accumulation.
arxiv:2605.06280 v4 · 2026-05-07 · cs.CV
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\pithnumber{SC4LSGB3NNFH3MY6W2KJREY2SH}
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Record completeness
Claims
Using adjacent-frame Eulerian motion fields to guide generation enables parallelized training and provides bounded-error supervision throughout the generation process; the Bidirectional Geometric Consistency mechanism mathematically identifies and masks occluded regions, preventing the model from learning incorrect warping objectives.
The forward-backward cycle check reliably identifies occluded regions without missing subtle motions or introducing new artifacts that affect the final animation quality.
Eulerian adjacent-frame motion guidance plus bidirectional geometric consistency yields faster training and more coherent diffusion-based image animation than first-frame reference methods.
Formal links
Receipt and verification
| First computed | 2026-06-01T01:03:54.583539Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
90b8b9183b6b4a7db31eb69498931a91e05e4d7581aa09a08f909f1b5231cb0d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SC4LSGB3NNFH3MY6W2KJREY2SH \
| 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: 90b8b9183b6b4a7db31eb69498931a91e05e4d7581aa09a08f909f1b5231cb0d
Canonical record JSON
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