pith:HEHLHZYF
FlowC2S: Flowing from Current to Succeeding Frames for Fast and Memory-Efficient Video Continuation
FlowC2S flows directly from current video frames to succeeding ones, halving input size and outperforming prior methods with five evaluations.
arxiv:2604.17625 v2 · 2026-04-19 · cs.CV
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\pithnumber{HEHLHZYFGMTMQKCKHTSP3CG7CA}
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Claims
By flowing directly from current to succeeding frames, instead of the common combination of current frames with noise to generate a video continuation, we reduce the dimensionality of the model input by a factor of two. The proposed method, fine-tuned from LTXV and Wan, surpasses the state-of-the-art scores across quantitative evaluations with FID and FVD, with as few as five neural function evaluations.
That temporally adjacent video chunks serve as a practical proxy for true optimal couplings and produce straighter flows, and that injecting the inverted latent of the target chunk strengthens correspondences without introducing artifacts.
FlowC2S generates video continuations by flowing directly from current to next frames in a fine-tuned flow model, using adjacent chunks as optimal couplings and target inversion to cut input size in half and beat SOTA FID/FVD scores.
Receipt and verification
| First computed | 2026-06-02T01:03:47.267480Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
390eb3e7053326c8284a3ce4fd88df10122f6b796dad200e21c6e3b1dec204a8
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HEHLHZYFGMTMQKCKHTSP3CG7CA \
| 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: 390eb3e7053326c8284a3ce4fd88df10122f6b796dad200e21c6e3b1dec204a8
Canonical record JSON
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