pith:BHHOWUIA
TrajectoryMover: Generative Movement of Object Trajectories in Videos
A new video generator uses synthetic paired data to move objects along altered 3D trajectories while keeping their original motion intact.
arxiv:2603.29092 v3 · 2026-03-31 · cs.CV
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Claims
We introduce TrajectoryAtlas, a new data generation pipeline for large-scale synthetic paired video data and a video generator TrajectoryMover fine-tuned with this data. We show that this successfully enables generative movement of object trajectories.
The synthetic paired videos produced by TrajectoryAtlas are sufficiently realistic and diverse to allow the fine-tuned TrajectoryMover to generalize to real-world videos without introducing artifacts or breaking motion plausibility.
TrajectoryMover enables moving object trajectories in videos by training on large-scale synthetic paired data generated via the new TrajectoryAtlas pipeline.
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| First computed | 2026-05-20T01:05:12.120482Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
09ceeb51005855cb795962dea947dedecbeccc7122bf9c35478babac5c7c30a1
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/BHHOWUIALBK4W6KZMLPKSR6633 \
| 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())"
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Canonical record JSON
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