pith:RYK24JQP
VeraRetouch: A Lightweight Fully Differentiable Framework for Multi-Task Reasoning Photo Retouching
VeraRetouch replaces non-differentiable external tools with a custom renderer to allow end-to-end training of reasoning photo retouching.
arxiv:2604.27375 v2 · 2026-04-30 · cs.CV
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\pithnumber{RYK24JQPPEHDWU3T2WNWXXR6SE}
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Claims
VeraRetouch achieves state-of-the-art performance across multiple benchmarks while maintaining a significantly smaller footprint, enabling mobile deployment.
The fully differentiable Retouch Renderer can faithfully replicate the effects of professional retouching operations using only decoupled control latents for lighting, global color, and specific colors, without introducing artifacts or losing fidelity compared to external tools.
VeraRetouch is a lightweight fully differentiable framework using a 0.5B VLM for retouching plans and a custom renderer for end-to-end training, backed by a new million-scale dataset and RL post-training, to achieve SOTA multi-task photo retouching with mobile deployment.
Receipt and verification
| First computed | 2026-05-21T01:05:19.666166Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8e15ae260f790e3b5373d59b6bde3e9130b41c92eb29a8a2acf5dbdc0c9949cb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RYK24JQPPEHDWU3T2WNWXXR6SE \
| 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: 8e15ae260f790e3b5373d59b6bde3e9130b41c92eb29a8a2acf5dbdc0c9949cb
Canonical record JSON
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