pith:JTUH5G7U
StreamingEffect: Real-Time Human-Centric Video Effect Generation
StreamingEffect distills a bidirectional video editing teacher into a causal student that generates real-time human-centric effects at 720p on one GPU.
arxiv:2605.17019 v1 · 2026-05-16 · cs.CV
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Claims
Experiments show that our method enables real-time, high-quality 720p video editing on a single H200 GPU.
The distilled causal student model preserves human identity, background content, and temporal consistency at a level comparable to the bidirectional teacher when operating in a streaming, one-pass regime.
StreamingEffect enables real-time 720p human-centric video effect generation on one GPU via teacher-student distillation, keyframe control, and a new 130K video dataset.
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Receipt and verification
| First computed | 2026-05-20T00:03:36.291221Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4ce87e9bf4559f9053935282f9148bc441faa53f886e1b0e4bf697565f23a601
Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JTUH5G7UKWPZAU4TKKBPSFELYR \
| 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: 4ce87e9bf4559f9053935282f9148bc441faa53f886e1b0e4bf697565f23a601
Canonical record JSON
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