Beyond Starry Night: Shortcut-Aware Control-State Planning for Artist-Grounded Text to Image Generation

Hugging Face Daily Papers Papers

Summary

This paper introduces Atelier, a method that plans explicit control states before generation to prevent text-to-image models from falling back on artist-name shortcuts, and presents ArtIntentBench for evaluating artist-grounded style control.

Artist-grounded image generation requires more than appending an artist name to a prompt. Image models often respond to artist names through canonical shortcuts, such as recurring motifs, generic palettes, or overrepresented period signatures, rather than preserving the user's intended scene. We introduce Atelier, a shortcut-aware control-state planning framework for artist-grounded image generation. Atelier translates underspecified artistic intent into an explicit control state that separates scene anchors, preserve/transform decisions, style-regime hypotheses, role-bound artist evidence, and shortcut-avoidance constraints. It grounds this state using artist-level knowledge and local patch references, compiles backend-aware generation plans, and iteratively refines candidates through global and local authenticity feedback. We further introduce ArtIntentBench, a benchmark covering Van Gogh and Qi Baishi across artwork re-rendering, period/style-controlled generation, historically unseen subjects, shortcut auditing, and human preference evaluation. Across open-weight and closed-source generators, Atelier improves artist-level style fidelity, preserves source structure more faithfully, and substantially reduces shortcut substitution compared with prompt-engineered, retrieval-augmented, and general-purpose agent baselines. These results suggest that artist-grounded generation is bottlenecked not only by image synthesis, but by the upstream inference of explicit, evidence-grounded artistic controls.
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Paper page - Beyond Starry Night: Shortcut-Aware Control-State Planning for Artist-Grounded Text to Image Generation

Source: https://huggingface.co/papers/2608.06751 Beyond Starry Night: Shortcut-Aware Control-State Planning for Artist-Grounded Text-to-Image Generation

📄 arXiv:https://arxiv.org/abs/2608.06751

TL;DR:Naming an artist in a prompt isn’t style control. T2I models tend to fall back oncanonical shortcuts— the recurring motifs, stock palettes, and over-represented period signatures they associate with that name — and quietly overwrite the scene the user actually asked for. This paper introducesAtelier, which plans an explicit control statebeforegeneration instead of hoping the backend infers intent.

What Atelier does

  • Decomposes an underspecified request (“a quiet subway platform in the style of Van Gogh”) into an explicit control state:scene anchors,preserve vs. transformdecisions,style-regime hypotheses,role-bound artist evidence, andanti-shortcut constraints.
  • Grounds that state with artist-level knowledge pluslocal patchreferences — and unlike generic RAG prompting, binds each patch to a specific scene role rather than dumping it in as an undifferentiated style exemplar.
  • Compilesbackend-awaregeneration plans, then iteratively refines candidates with global + local authenticity critics.

ArtIntentBench A companion benchmark that trades artist breadth for supervision depth — two deliberately contrastive artists (Van GoghandQi Baishi, different media and cultural traditions) across four tasks: artwork re-rendering, period-controlled generation (Paris / Arles / Saint-Rémy / Auvers), historically unseen subjects, and Qi Baishi re-rendering, plus shortcut auditing and human preference eval. The argument for going deep: a wide benchmark of many artist names with shallow labels would end up measuring generic style association, not artist-grounded control.

Results Across both open-weight and closed-source generators, Atelier improves artist-level style fidelity, preserves source structure better, and substantially cuts shortcut substitution relative to prompt-engineered, retrieval-augmented, and general-purpose agent baselines.

**Why it’s interesting:**the framing that artist-grounded generation is bottleneckedupstreamof the diffusion model — in inferring explicit, evidence-grounded controls — is a nice counterpoint to the “just scale the generator” default. The shortcut-auditing setup also seems reusable well beyond these two artists.

Curious how the control state holds up on artists with less catalogued, more diffuse oeuvres, and whether the period-regime hypotheses transfer to movements rather than individuals.

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