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Author: 11136

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Agency-Enhanced Visual Search in VR: Robust to Distraction, Delay, and Perspective Shifts

The sense of agency, the internal feeling of controlling one's actions and their outcomes, fundamentally shapes user interaction in virtual environments. Although extensively studied for its subjective impact, agency’s implicit yet critical role in guiding visual-spatial attention has been largely overlooked. This stu…

Chunlin Liao et al.Beijing Normal University - Hong Kong Baptist University

InkIdeator: Supporting Chinese-Style Visual Design Ideation via AI-Infused Exploration of Chinese Paintings

Visual designers often seek inspiration from Chinese paintings when tasked with creating Chinese-style illustrations, posters, etc. Our formative study (N=10) reveals that during ideation, designers learn the cultural symbols, emotions, compositions, and styles in Chinese paintings but face challenges in searching, an…

Shiwei Wu et al.Sun Yat-sen University

GenColor: Generative Color-Concept Association in Visual Design

Existing approaches for color-concept association typically rely on query-based image referencing, and color extraction from image references. However, these approaches are effective only for common concepts, and are vulnerable to unstable image referencing and varying image conditions. Our formative study with design…

Yihan Hou et al.Hong Kong University of Science and Technology

SketchFlex: Facilitating Spatial-Semantic Coherence in Text-to-Image Generation with Region-Based Sketches

Text-to-image models can generate visually appealing images from text descriptions. Efforts have been devoted to improving model controls with prompt tuning and spatial conditioning. However, our formative study highlights the challenges for non-expert users in crafting appropriate prompts and specifying fine-grai…

Haichuan Lin et al.Hong Kong University of Science and Technology

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The Contemporary Art of Image Search: Iterative User Intent Expansion via Vision-Language Model

Image search is an essential and user-friendly method to explore vast galleries of digital images. However, existing image search methods heavily rely on proximity measurements like tag matching or image similarity, requiring precise user inputs for satisfactory results. To meet the growing demand for a contemporary i…

Yilin Ye et al.Hong Kong University of Science and Technology

Session 2f: UX, Visual Communication and Design

VirtuWander: Enhancing Multi-modal Interaction for Virtual Tour Guidance through Large Language Models

Tour guidance in virtual museums encourages multi-modal interactions to boost user experiences, concerning engagement, immersion, and spatial awareness. Nevertheless, achieving the goal is challenging due to the complexity of comprehending diverse user needs and accommodating personalized user preferences. Informed by…

Zhan Wang et al.Hong Kong University of Science and Technology

Make Interaction Situated: Designing User Acceptable Interaction for Situated Visualization in Public Environments

Situated visualization blends data into the real world to fulfill individuals’ contextual information needs. However, interacting with situated visualization in public environments faces challenges posed by users’ acceptance and contextual constraints. To explore appropriate interaction design, we first conduct a form…

Qian Zhu et al.Hong Kong University of Science and Technology

PlantoGraphy: Incorporating Iterative Design Process into Generative Artificial Intelligence for Landscape Rendering

Landscape renderings are realistic images of landscape sites, allowing stakeholders to perceive better and evaluate design ideas. While recent advances in Generative Artificial Intelligence (GAI) enable automated generation of landscape renderings, the end-to-end methods are not compatible with common design processes…

Rong Huang et al.Hong Kong University of Science and Technology

C2Ideas: Supporting Creative Interior Color Design Ideation with a Large Language Model

Interior color design is a creative process that endeavors to allocate colors to furniture and other elements within an interior space. While much research focuses on generating realistic interior designs, these automated approaches often misalign with user intention and disregard design rationales. Informed by a need…

Yihan Hou et al.Hong Kong University of Science and Technology

IntentTuner: An Interactive Framework for Integrating Human Intentions in Fine-tuning Text-to-Image Generative Models

Fine-tuning facilitates the adaptation of text-to-image generative models to novel concepts (e.g., styles and portraits), empowering users to forge creatively customized content. Recent efforts on fine-tuning focus on reducing training data and lightening computation overload but neglect alignment with user intentions…

Xingchen Zeng et al.Hong Kong University of Science and Technology

TypeDance: Creating Semantic Typographic Logos from Image through Personalized Generation

Semantic typographic logos harmoniously blend typeface and imagery to represent semantic concepts while maintaining legibility. Conventional methods using spatial composition and shape substitution are hindered by the conflicting requirement for achieving seamless spatial fusion between geometrically dissimilar typefa…

Shishi Xiao et al.Hong Kong University of Science and Technology

Paper Title	Authors	Research Topics
Agency-Enhanced Visual Search in VR: Robust to Distraction, Delay, and Perspective Shifts The sense of agency, the internal feeling of controlling one's actions and their outcomes, fundamentally shapes user interaction in virtual environments. Although extensively studied for its subjective impact, agency’s implicit yet critical role in guiding visual-spatial attention has been largely overlooked. This stu…	CL Chunlin Liao et al.Beijing Normal University - Hong Kong Baptist University
InkIdeator: Supporting Chinese-Style Visual Design Ideation via AI-Infused Exploration of Chinese Paintings Visual designers often seek inspiration from Chinese paintings when tasked with creating Chinese-style illustrations, posters, etc. Our formative study (N=10) reveals that during ideation, designers learn the cultural symbols, emotions, compositions, and styles in Chinese paintings but face challenges in searching, an…	SW Shiwei Wu et al.Sun Yat-sen University
GenColor: Generative Color-Concept Association in Visual Design Existing approaches for color-concept association typically rely on query-based image referencing, and color extraction from image references. However, these approaches are effective only for common concepts, and are vulnerable to unstable image referencing and varying image conditions. Our formative study with design…	YH Yihan Hou et al.Hong Kong University of Science and Technology
emoji_events SketchFlex: Facilitating Spatial-Semantic Coherence in Text-to-Image Generation with Region-Based Sketches Text-to-image models can generate visually appealing images from text descriptions. Efforts have been devoted to improving model controls with prompt tuning and spatial conditioning. However, our formative study highlights the challenges for non-expert users in crafting appropriate prompts and specifying fine-grai…	HL Haichuan Lin et al.Hong Kong University of Science and Technology
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
The Contemporary Art of Image Search: Iterative User Intent Expansion via Vision-Language Model Image search is an essential and user-friendly method to explore vast galleries of digital images. However, existing image search methods heavily rely on proximity measurements like tag matching or image similarity, requiring precise user inputs for satisfactory results. To meet the growing demand for a contemporary i…	YY Yilin Ye et al.Hong Kong University of Science and Technology	Session 2f: UX, Visual Communication and Design
VirtuWander: Enhancing Multi-modal Interaction for Virtual Tour Guidance through Large Language Models Tour guidance in virtual museums encourages multi-modal interactions to boost user experiences, concerning engagement, immersion, and spatial awareness. Nevertheless, achieving the goal is challenging due to the complexity of comprehending diverse user needs and accommodating personalized user preferences. Informed by…	ZW Zhan Wang et al.Hong Kong University of Science and Technology
Make Interaction Situated: Designing User Acceptable Interaction for Situated Visualization in Public Environments Situated visualization blends data into the real world to fulfill individuals’ contextual information needs. However, interacting with situated visualization in public environments faces challenges posed by users’ acceptance and contextual constraints. To explore appropriate interaction design, we first conduct a form…	QZ Qian Zhu et al.Hong Kong University of Science and Technology
PlantoGraphy: Incorporating Iterative Design Process into Generative Artificial Intelligence for Landscape Rendering Landscape renderings are realistic images of landscape sites, allowing stakeholders to perceive better and evaluate design ideas. While recent advances in Generative Artificial Intelligence (GAI) enable automated generation of landscape renderings, the end-to-end methods are not compatible with common design processes…	RH Rong Huang et al.Hong Kong University of Science and Technology
C2Ideas: Supporting Creative Interior Color Design Ideation with a Large Language Model Interior color design is a creative process that endeavors to allocate colors to furniture and other elements within an interior space. While much research focuses on generating realistic interior designs, these automated approaches often misalign with user intention and disregard design rationales. Informed by a need…	YH Yihan Hou et al.Hong Kong University of Science and Technology
IntentTuner: An Interactive Framework for Integrating Human Intentions in Fine-tuning Text-to-Image Generative Models Fine-tuning facilitates the adaptation of text-to-image generative models to novel concepts (e.g., styles and portraits), empowering users to forge creatively customized content. Recent efforts on fine-tuning focus on reducing training data and lightening computation overload but neglect alignment with user intentions…	XZ Xingchen Zeng et al.Hong Kong University of Science and Technology
TypeDance: Creating Semantic Typographic Logos from Image through Personalized Generation Semantic typographic logos harmoniously blend typeface and imagery to represent semantic concepts while maintaining legibility. Conventional methods using spatial composition and shape substitution are hindered by the conflicting requirement for achieving seamless spatial fusion between geometrically dissimilar typefa…	SX Shishi Xiao et al.Hong Kong University of Science and Technology