pith:RDWPXVIU
Controllable Egocentric Video Generation via Occlusion-Aware Sparse 3D Hand Joints
Sparse 3D hand joints with occlusion-aware weighting generate controllable egocentric videos from one reference frame.
arxiv:2603.11755 v2 · 2026-03-12 · cs.CV
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\pithnumber{RDWPXVIUMX7KYHARANIU5GDBFQ}
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Record completeness
Claims
our approach significantly outperforms state-of-the-art baselines, generating high-fidelity egocentric videos with realistic interactions and exhibiting exceptional cross-embodiment generalization to robotic hands.
Sparse 3D hand joints plus the occlusion-aware weighting mechanism are assumed to supply enough geometric and semantic information to prevent motion inconsistencies and hallucinations under severe egocentric occlusions without additional human-centric priors.
A new occlusion-aware control module generates high-fidelity egocentric videos from sparse 3D hand joints, supported by a million-clip dataset and cross-embodiment benchmark.
Formal links
Receipt and verification
| First computed | 2026-06-26T01:15:50.653400Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
88ecfbd51465feac1c1103514e98612c2cf0f25438188df5f63100bfbadeb940
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RDWPXVIUMX7KYHARANIU5GDBFQ \
| 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: 88ecfbd51465feac1c1103514e98612c2cf0f25438188df5f63100bfbadeb940
Canonical record JSON
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