pith:V4FL6PO4
CRePE: Curved Ray Expectation Positional Encoding for Unified-Camera-Controlled Video Generation
CRePE represents each image token as a depth-aware positional distribution along its source ray to support unified camera control under the Unified Camera Model.
arxiv:2605.12938 v1 · 2026-05-13 · cs.CV · cs.AI · cs.LG
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\pithnumber{V4FL6PO4WAWXZMQT5EVJ3IHBNT}
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Record completeness
Claims
CRePE represents each image token as a depth-aware positional distribution along its source ray, providing a Unified Camera Model-compatible positional encoding that captures the projected-path geometry induced by wide-angle and fisheye cameras.
That pseudo-supervision from a monocular geometry foundation model is sufficient to stabilize the Geometric Attention Adapter without introducing systematic bias in the learned ray distributions.
CRePE supplies depth-aware positional distributions along curved rays for stable unified-camera control in frozen video DiT models.
References
Formal links
Receipt and verification
| First computed | 2026-05-18T03:09:09.786681Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
af0abf3ddcb02d7cb213e92a9da0e16cf99a77ddc18b48247d115976316299ed
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V4FL6PO4WAWXZMQT5EVJ3IHBNT \
| 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: af0abf3ddcb02d7cb213e92a9da0e16cf99a77ddc18b48247d115976316299ed
Canonical record JSON
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