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Early-stage design ideation often relies on rough sketches created under time pressure, leaving much of the designer's intent implicit. In practice, designers frequently speak while sketching, verbally articulating functional goals and…

Human-Computer Interaction · Computer Science 2026-04-15 Weiyan Shi , Dorien Herremans , Kenny Tsu Wei Choo

Facial sketches are both a concise way of showing the identity of a person and a means to express artistic intention. While a few techniques have recently emerged that allow sketches to be extracted in different styles, they typically rely…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Kwan Yun , Kwanggyoon Seo , Chang Wook Seo , Soyeon Yoon , Seongcheol Kim , Soohyun Ji , Amirsaman Ashtari , Junyong Noh

Graphic layout generation is a growing research area focusing on generating aesthetically pleasing layouts ranging from poster designs to documents. While recent research has explored ways to incorporate user constraints to guide the layout…

Recent works on language-guided image manipulation have shown great power of language in providing rich semantics, especially for face images. However, the other natural information, motions, in language is less explored. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2024-07-04 Tiankai Hang , Huan Yang , Bei Liu , Jianlong Fu , Xin Geng , Baining Guo

Sketch is an important media for human to communicate ideas, which reflects the superiority of human intelligence. Studies on sketch can be roughly summarized into recognition and generation. Existing models on image recognition failed to…

Computer Vision and Pattern Recognition · Computer Science 2017-09-14 Yajing Chen , Shikui Tu , Yuqi Yi , Lei Xu

Video generation and editing conditioned on text prompts or images have undergone significant advancements. However, challenges remain in accurately controlling global layout and geometry details solely by texts, and supporting motion…

Graphics · Computer Science 2025-04-01 Feng-Lin Liu , Hongbo Fu , Xintao Wang , Weicai Ye , Pengfei Wan , Di Zhang , Lin Gao

Large language models (LLMs) represented by GPT family have achieved remarkable success. The characteristics of LLMs lie in their ability to accommodate a wide range of tasks through a generative approach. However, the flexibility of their…

Computation and Language · Computer Science 2024-09-06 Xin Jiang , Xiang Li , Wenjia Ma , Xuezhi Fang , Yiqun Yao , Naitong Yu , Xuying Meng , Peng Han , Jing Li , Aixin Sun , Yequan Wang

This paper presents a system for procedurally generating agent-based narratives using large language models (LLMs). Users could drag and drop multiple agents and objects into a scene, with each entity automatically assigned semantic…

Graphics · Computer Science 2025-12-24 Vinayak Regmi , Christos Mousas

Conceptual product design requires designers to explore the design space of visual and functional concepts simultaneously. Sketching has long been adopted to empower concept exploration. However, current sketch-based design tools mostly…

Human-Computer Interaction · Computer Science 2025-08-12 Runlin Duan , Chenfei Zhu , Yuzhao Chen , Dizhi Ma , Jingyu Shi , Ziyi Liu , Karthik Ramani

With the advancement of generative artificial intelligence, previous studies have achieved the task of generating aesthetic images from hand-drawn sketches, fulfilling the public's needs for drawing. However, these methods are limited to…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Lifan Jiang , Shuang Chen , Boxi Wu , Xiaotong Guan , Jiahui Zhang

We propose an interactive GAN-based sketch-to-image translation method that helps novice users create images of simple objects. As the user starts to draw a sketch of a desired object type, the network interactively recommends plausible…

Computer Vision and Pattern Recognition · Computer Science 2019-09-27 Arnab Ghosh , Richard Zhang , Puneet K. Dokania , Oliver Wang , Alexei A. Efros , Philip H. S. Torr , Eli Shechtman

Recent advancements in large vision-language models have enabled highly expressive and diverse vector sketch generation. However, state-of-the-art methods rely on a time-consuming optimization process involving repeated feedback from a…

Computer Vision and Pattern Recognition · Computer Science 2025-02-13 Ellie Arar , Yarden Frenkel , Daniel Cohen-Or , Ariel Shamir , Yael Vinker

Interactive facial image manipulation attempts to edit single and multiple face attributes using a photo-realistic face and/or semantic mask as input. In the absence of the photo-realistic image (only sketch/mask available), previous…

Computer Vision and Pattern Recognition · Computer Science 2021-10-12 Yan Yang , Md Zakir Hossain , Tom Gedeon , Shafin Rahman

The scarcity of free-hand sketch presents a challenging problem. Despite the emergence of some large-scale sketch datasets, these datasets primarily consist of sketches at the single-object level. There continues to be a lack of large-scale…

Computer Vision and Pattern Recognition · Computer Science 2024-05-30 Zhenbei Wu , Qiang Wang , Jie Yang

Evidence that visual communication preceded written language and provided a basis for it goes back to prehistory, in forms such as cave and rock paintings depicting traces of our distant ancestors. Emergent communication research has sought…

Computer Vision and Pattern Recognition · Computer Science 2021-11-10 Daniela Mihai , Jonathon Hare

Designing high-quality indoor 3D scenes is important in many practical applications, such as room planning or game development. Conventionally, this has been a time-consuming process which requires both artistic skill and familiarity with…

Computer Vision and Pattern Recognition · Computer Science 2024-07-31 Başak Melis Öcal , Maxim Tatarchenko , Sezer Karaoglu , Theo Gevers

While Multimodal Large Language Models (MLLMs) excel at visual understanding, they often struggle in complex scenarios that require visual planning and imagination. Inspired by how humans use sketching as a form of visual thinking to…

Computer Vision and Pattern Recognition · Computer Science 2025-10-29 Huanyu Zhang , Wenshan Wu , Chengzu Li , Ning Shang , Yan Xia , Yangyu Huang , Yifan Zhang , Li Dong , Zhang Zhang , Liang Wang , Tieniu Tan , Furu Wei

The research topic of sketch-to-portrait generation has witnessed a boost of progress with deep learning techniques. The recently proposed StyleGAN architectures achieve state-of-the-art generation ability but the original StyleGAN is not…

Graphics · Computer Science 2022-06-01 Wanchao Su , Hui Ye , Shu-Yu Chen , Lin Gao , Hongbo Fu

Recent advances in text-conditioned generative models have provided us with neural networks capable of creating images of astonishing quality, be they realistic, abstract, or even creative. These models have in common that (more or less…

Human-Computer Interaction · Computer Science 2022-10-10 Francisco Ibarrola , Tomas Lawton , Kazjon Grace

Creating physically realistic content in VR often requires complex modeling tools or predefined 3D models, textures, and animations, which present significant barriers for non-expert users. In this paper, we propose SketchPlay, a novel VR…

Human-Computer Interaction · Computer Science 2025-12-29 Xiangwen Zhang , Xiaowei Dai , Runnan Chen , Xiaoming Chen , Zeke Zexi Hu