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Atelier: From Semantic Editing Intentions to Persistent Parametric Controls for AI-Assisted Image Editing

Amin R. M. et al.
2026-10-14

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October 2026 HCI paper on adaptive controls for image editing. Atelier combines image context and a user's editing intent to compose persistent, adjustable widgets, exposing proposed parameters for refinement instead of returning only a finished image.

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Why Atelier Adds New Signal:

1. Intent becomes controls: A vision-language model selects editing operations and initial values from the image and request
2. Persistent manipulation: Users adjust, remove, combine, and reuse controls across whole images, objects, or selected regions
3. Practitioner evidence: An eight-person formative study informs the system; a 12-person comparison finds a preference for AI-composed controls and more exploration
4. Control remains unresolved: Participants still struggled to understand proposed controls and values; editability alone did not ensure transparency or a stronger sense of control

Tags

generative-uiimage-editingadaptive-controlsdirect-manipulationuser-study
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Inflak: A Unified Orchestration Architecture for Human-Agent Interaction

October 2026 paper separating runtime human-agent interaction into routing, planning, design, and rendering. Inflak implements these layers as composable agent skills, letting task state determine when to request input and which generated interface to present.

generative-uiinteraction-orchestrationagent-skills
рд▓реЗрдЦрдХ Gao L. et al. ┬╖ 2026-10-15
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When Interfaces Speak: Data-Aware Generative UI Harness for Active Interaction

October 2026 paper pairing database tool execution with task-specific frontend generation. GenUI-Harness adds sandboxed interaction rollouts and reward auditing, while UI-TAU Bench tests whether generated interfaces help agents collect input and complete database-backed tasks across ten domains.

generative-uidata-grounded-uiui-tau-bench
рд▓реЗрдЦрдХ Li X. et al. ┬╖ 2026-10-08
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Design Creativity Bench: Measuring creativity in LLM-Generated UI

October 2026 Kombai paper evaluating originality, variation across product domains, and requirement satisfaction in LLM-generated interfaces. It compares 2,400 HTML designs from 15 models across 160 prompts with human reference designs, separating acceptable output from diverse design.

ui-generationdesign-diversitycreativity-evaluation
рд▓реЗрдЦрдХ Rusia A. et al. ┬╖ 2026-10-08
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