pith:SDJO2XE5
Generating HDR Video from SDR Video
Large generative video models can synthesize HDR sequences from casual SDR video by first predicting bracketed linear exposures and then merging them.
arxiv:2605.14703 v1 · 2026-05-14 · cs.CV
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\pithnumber{SDJO2XE5NWU5QLYLA7KL2JKAKO}
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Record completeness
Claims
our approach enables robust HDR conversion for in-the-wild examples from casual consumer videos and even iconic films.
That large-scale generative video models can reliably predict accurate exposure-bracketed linear SDR sequences from a single nonlinear SDR input without introducing artifacts or inconsistencies.
A multi-exposure video model predicts bracketed linear SDR sequences from single nonlinear SDR input, which a merging model combines into HDR video preserving shadow and highlight detail.
References
Receipt and verification
| First computed | 2026-05-17T23:38:59.309851Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
90d2ed5c9d6da9d82f0b07d4bd254053980673ef5efc22b86f151663245ade19
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SDJO2XE5NWU5QLYLA7KL2JKAKO \
| 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: 90d2ed5c9d6da9d82f0b07d4bd254053980673ef5efc22b86f151663245ade19
Canonical record JSON
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