ThematicPlane: Bridging Tacit User Intent and Latent Spaces for Image Generation

Generative AI has made image creation more accessible, yet aligning outputs with nuanced creative intent remains challenging, particularly for non-experts. Existing tools often require users to externalize ideas through prompts or references, limiting fluid exploration. We introduce ThematicPlane, a system that enables users to navigate and manipulate high-level semantic concepts (e.g., mood, style, or narrative tone) within an interactive thematic design plane. This interface bridges the gap between tacit creative intent and system control. In our exploratory study (N=6), participants engaged in divergent and convergent creative modes, often embracing unexpected results as inspiration or iteration cues. While they grounded their exploration in familiar themes, differing expectations of how themes mapped to outputs revealed a need for more explainable controls. Overall, ThematicPlane fosters expressive, iterative workflows and highlights new directions for intuitive, semantics-driven interaction in generative design tools.

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Publication Details

Published
2025-09-27
DOI
https://doi.org/10.1145/3746058.3758376
Primary Topic
Image Retrieval and Classification Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

ThematicPlane: Bridging Tacit User Intent and Latent Spaces for Image Generation

Heng Ji, Dong-Hoon Shin, Nikhil Sharma, Daniel Lee et al.
Image Retrieval and Classification Techniques
article

ThematicPlane: Bridging Tacit User Intent and Latent Spaces for Image Generation

Heng Ji, Dong-Hoon Shin, Nikhil Sharma, Daniel Lee, Jeong-Hwan Kim, Harsh Sharma, DaEun Choi
article en

Abstract

Generative AI has made image creation more accessible, yet aligning outputs with nuanced creative intent remains challenging, particularly for non-experts. Existing tools often require users to externalize ideas through prompts or references, limiting fluid exploration. We introduce ThematicPlane, a system that enables users to navigate and manipulate high-level semantic concepts (e.g., mood, style, or narrative tone) within an interactive thematic design plane. This interface bridges the gap between tacit creative intent and system control. In our exploratory study (N=6), participants engaged in divergent and convergent creative modes, often embracing unexpected results as inspiration or iteration cues. While they grounded their exploration in familiar themes, differing expectations of how themes mapped to outputs revealed a need for more explainable controls. Overall, ThematicPlane fosters expressive, iterative workflows and highlights new directions for intuitive, semantics-driven interaction in generative design tools.

Adobe Systems (United States) (US), Johns Hopkins University (US), Korea Advanced Institute of Science and Technology (KR), University of Illinois Urbana-Champaign (US), University of Colorado Boulder (US), University of Washington (US)
Openalex Percentile: Top 71%
Image Retrieval and Classification Techniques
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ThematicPlane: Bridging Tacit User Intent and Latent Spaces for Image Generation — Heng Ji, Dong-Hoon Shin, et al. · (2025) | TGRS Research Map | TGRS