Problem
Research questions and friction points this paper is trying to address.
interactive visual interfaces
generative image models
interaction mechanisms
design space
A Design Space for Visual Interfaces for Generative Image Models
🤖 AI Summary
本文提出一种生成图像模型的可视化界面设计空间，通过分解用户界面、可控模型对象及映射函数来分析不同交互技术，以促进新界面设计。
📝 Abstract
Interactive visual interfaces have become an important means of controlling generative image models, enabling users to manipulate generation through prompts, direct manipulation, and a range of interactions. However, existing techniques are typically presented as independent systems, making it difficult to understand how they relate, compare their interaction mechanisms, or identify opportunities for new interface designs. We introduce a design space for interactive visual interfaces for generative image models derived from 51 research systems and practitioner tools. The framework decomposes each system into three complementary components: the user interface (U), the controllable model objects (Z), and the mapping function ($φ$) that translates user interaction into model operations. This decomposition provides a common representation for analyzing heterogeneous interaction techniques across model families, revealing recurring design patterns and underexplored regions of the design space. We further present an interactive corpus explorer that support comparative analysis, and discuss usage scenarios for both educational settings and HCI/AI practitioners identifying research and design opportunities.
Innovation
Methods, ideas, or system contributions that make the work stand out.
design space
interactive visual interfaces
generative image models
decomposition
comparative analysis
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