pith:VIRZYC7W
UI2Code^N: UI-to-Code Generation as Interactive Visual Optimization
UI-to-code generation improves by treating it as a closed-loop visual optimization process rather than single-pass output.
arxiv:2511.08195 v4 · 2025-11-11 · cs.CV
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Claims
Experiments demonstrate state-of-the-art performance on UI drafting, UI polishing, and UI editing benchmarks, even outperforming larger models, with performance consistently improving through iterative visual optimization.
That rendered visual feedback can reliably drive iterative refinement despite non-differentiability of visual objectives and noise in absolute evaluators, which RVPO is claimed to address via relative rankings.
UI2Code^N turns UI-to-code into a closed-loop visual optimization process using Relative Visual Policy Optimization on a 9B model, achieving SOTA results that improve with iterations.
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| First computed | 2026-06-11T01:10:29.690970Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aa239c0bf6afe55807e6160e392084f29de865c069203dfbb6ceb59118172332
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VIRZYC7WV7SVQB7GCYHDSIEE6K \
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# expect: aa239c0bf6afe55807e6160e392084f29de865c069203dfbb6ceb59118172332
Canonical record JSON
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