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Related papers: SketchConcept: Sketching-based Concept Recompositi…

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We introduce SketchGNN, a convolutional graph neural network for semantic segmentation and labeling of freehand vector sketches. We treat an input stroke-based sketch as a graph, with nodes representing the sampled points along input…

Computer Vision and Pattern Recognition · Computer Science 2021-03-26 Lumin Yang , Jiajie Zhuang , Hongbo Fu , Xiangzhi Wei , Kun Zhou , Youyi Zheng

Generative AI has enabled novice designers to quickly create professional-looking visual representations for product concepts. However, novices have limited domain knowledge that could constrain their ability to write prompts that…

Human-Computer Interaction · Computer Science 2026-03-30 Sirui Tao , Ivan Liang , Cindy Peng , Zhiqing Wang , Srishti Palani , Steven P. Dow

Sketches are a natural and accessible medium for UI designers to conceptualize early-stage ideas. However, existing research on UI/UX automation often requires high-fidelity inputs like Figma designs or detailed screenshots, limiting…

Computation and Language · Computer Science 2024-10-22 Ryan Li , Yanzhe Zhang , Diyi Yang

The rapid progress in diffusion models, transformers, and language agents has unlocked new possibilities, yet their potential in user interfaces and commercial applications remains underexplored. We present Sketch-Search Agent, a novel…

Information Retrieval · Computer Science 2025-04-15 Edward Sun

Sketchformer is a novel transformer-based representation for encoding free-hand sketches input in a vector form, i.e. as a sequence of strokes. Sketchformer effectively addresses multiple tasks: sketch classification, sketch based image…

Computer Vision and Pattern Recognition · Computer Science 2020-02-25 Leo Sampaio Ferraz Ribeiro , Tu Bui , John Collomosse , Moacir Ponti

When designing a program, both novice programmers and seasoned developers alike often sketch out -- or, perhaps more famously, whiteboard -- their ideas. Yet despite the introduction of natively multimodal Generative AI models, work on…

Computers and Society · Computer Science 2026-02-12 David H. Smith , S. Moonwara A. Monisha , Annapurna Vadaparty , Leo Porter , Daniel Zingaro

Humans draw to facilitate reasoning: we draw auxiliary lines when solving geometry problems; we mark and circle when reasoning on maps; we use sketches to amplify our ideas and relieve our limited-capacity working memory. However, such…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 Yushi Hu , Weijia Shi , Xingyu Fu , Dan Roth , Mari Ostendorf , Luke Zettlemoyer , Noah A Smith , Ranjay Krishna

A common need for mobile application development by end-users or in computing education is to transform a sketch of a user interface into wireframe code using App Inventor, a popular block-based programming environment. As this task is…

Human-Computer Interaction · Computer Science 2021-03-11 Daniel Baulé , Christiane Gresse von Wangenheim , Aldo von Wangenheim , Jean C. R. Hauck , Edson C. Vargas Júnior

For creative tasks, programmers face a choice: Use a GUI and sacrifice flexibility, or write code and sacrifice ergonomics? To obtain both flexibility and ease of use, a number of systems have explored a workflow that we call…

Human-Computer Interaction · Computer Science 2019-08-13 Brian Hempel , Justin Lubin , Ravi Chugh

Generative Artificial Intelligence (AI) has advanced rapidly, enabling the generation of renderings from architectural sketches. This progress has significantly improved the efficiency of communication and conceptual expression during the…

Graphics · Computer Science 2025-03-06 Zhengyang Wang , Hao Jin , Xusheng Du , Yuxiao Ren , Ye Zhang , Haoran Xie

Programming has become an essential component of K-12 education and serves as a pathway for developing computational thinking skills. Given the complexity of programming and the advanced skills it requires, previous research has introduced…

Human-Computer Interaction · Computer Science 2024-12-13 Yunnong Chen , Shuhong Xiao , Yaxuan Song , Zejian Li , Lingyun Sun , Liuqing Chen

Concept-based Explainable Artificial Intelligence (XAI) interprets deep learning models using human-understandable visual features (e.g., textures or object parts) by linking internal representations to class predictions, thereby bridging…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Giacomo Astolfi , Matteo Bianchi , Riccardo Campi , Antonio De Santis , Marco Brambilla

Recent deep generative models allow real-time generation of hair images from sketch inputs. Existing solutions often require a user-provided binary mask to specify a target hair shape. This not only costs users extra labor but also fails to…

Computer Vision and Pattern Recognition · Computer Science 2021-09-22 Chufeng Xiao , Deng Yu , Xiaoguang Han , Youyi Zheng , Hongbo Fu

Graphic designers often get inspiration through the recombination of references. Our formative study (N=6) reveals that graphic designers focus on conceptual keywords during this process, and want support for discovering the keywords,…

Human-Computer Interaction · Computer Science 2024-03-08 DaEun Choi , Sumin Hong , Jeongeon Park , John Joon Young Chung , Juho Kim

Generative AI (GenAI) models have become more capable than ever at augmenting productivity and cognition across diverse contexts. However, a fundamental challenge remains as users struggle to anticipate what AI will generate. As a result,…

Human-Computer Interaction · Computer Science 2025-04-17 Bryan Min , Haijun Xia

Developing simple and expressive access controls -- interfaces to specify policies that define who should have access to resources and under what circumstances -- is a longstanding challenge in usable security. We present Sketch-based…

Human-Computer Interaction · Computer Science 2026-05-12 Kyzyl Monteiro , Sauvik Das

Sketch-to-image (S2I) translation plays an important role in image synthesis and manipulation tasks, such as photo editing and colorization. Some specific S2I translation including sketch-to-photo and sketch-to-painting can be used as…

Computer Vision and Pattern Recognition · Computer Science 2020-06-19 Jialu Huang , Jing Liao , Zhifeng Tan , Sam Kwong

Sketch portrait generation benefits a wide range of applications such as digital entertainment and law enforcement. Although plenty of efforts have been dedicated to this task, several issues still remain unsolved for generating vivid and…

Computer Vision and Pattern Recognition · Computer Science 2017-10-05 Dongyu Zhang , Liang Lin , Tianshui Chen , Xian Wu , Wenwei Tan , Ebroul Izquierdo

Drawing freehand sketches of mechanical components on multimedia devices for AI-based engineering modeling has become a new trend. However, its development is being impeded because existing works cannot produce suitable sketches for…

Computer Vision and Pattern Recognition · Computer Science 2024-08-22 Zhichao Liao , Di Huang , Heming Fang , Yue Ma , Fengyuan Piao , Xinghui Li , Long Zeng , Pingfa Feng

This paper presents a real-time generative drawing system that interprets and integrates both formal intent - the structural, compositional, and stylistic attributes of a sketch - and contextual intent - the semantic and thematic meaning…

Computer Vision and Pattern Recognition · Computer Science 2025-08-28 Jookyung Song , Mookyoung Kang , Nojun Kwak