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Sketching and natural languages are effective communication media for interactive applications. We introduce Sketchforme, the first neural-network-based system that can generate sketches based on text descriptions specified by users.…

Human-Computer Interaction · Computer Science 2019-04-10 Forrest Huang , John F. Canny

Layout generation plays a crucial role in enhancing both user experience and design efficiency. However, current approaches suffer from task-specific generation capabilities and perceptually misaligned evaluation metrics, leading to limited…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Shuo Lu , Yanyin Chen , Wei Feng , Jiahao Fan , Fengheng Li , Zheng Zhang , Jingjing Lv , Junjie Shen , Ching Law , Jian Liang

Text-to-Image models have introduced a remarkable leap in the evolution of machine learning, demonstrating high-quality synthesis of images from a given text-prompt. However, these powerful pretrained models still lack control handles that…

Computer Vision and Pattern Recognition · Computer Science 2022-11-28 Andrey Voynov , Kfir Aberman , Daniel Cohen-Or

Sketch-based image editing aims to synthesize and modify photos based on the structural information provided by the human-drawn sketches. Since sketches are difficult to collect, previous methods mainly use edge maps instead of sketches to…

Computer Vision and Pattern Recognition · Computer Science 2020-01-10 Shuai Yang , Zhangyang Wang , Jiaying Liu , Zongming Guo

Recently, deep learning techniques have shown great success in automatic code generation. Inspired by the code reuse, some researchers propose copy-based approaches that can copy the content from similar code snippets to obtain better…

Software Engineering · Computer Science 2023-09-08 Jia Li , Yongmin Li , Ge Li , Zhi Jin , Yiyang Hao , Xing Hu

During the early stages of interface design, designers need to produce multiple sketches to explore a design space. Design tools often fail to support this critical stage, because they insist on specifying more details than necessary.…

Human-Computer Interaction · Computer Science 2026-03-31 Aryan Garg , Yue Jiang , Antti Oulasvirta

With the involvement of artificial intelligence (AI), sketches can be automatically generated under certain topics. Even though breakthroughs have been made in previous studies in this area, a relatively high proportion of the generated…

Computer Vision and Pattern Recognition · Computer Science 2020-11-10 Yunkui Pang , Zhiqing Pan , Ruiyang Sun , Shuchong Wang

While text-to-image diffusion models can generate highquality images from textual descriptions, they generally lack fine-grained control over the visual composition of the generated images. Some recent works tackle this problem by training…

Computer Vision and Pattern Recognition · Computer Science 2024-02-22 Denis Lukovnikov , Asja Fischer

Recent deep learning methods can generate diverse graphic design layouts efficiently. However, these methods often create layouts with flaws, such as misalignment, unwanted overlaps, and unsatisfied containment. To tackle this issue, we…

Graphics · Computer Science 2025-08-26 I-Chao Shen , Ariel Shamir , Takeo Igarashi

Recent advances in diffusion models have significantly improved text-to-image (T2I) generation, but they often struggle to balance fine-grained precision with high-level control. Methods like ControlNet and T2I-Adapter excel at following…

Computer Vision and Pattern Recognition · Computer Science 2025-04-11 Pouyan Navard , Amin Karimi Monsefi , Mengxi Zhou , Wei-Lun Chao , Alper Yilmaz , Rajiv Ramnath

Graphic layout designs play an essential role in visual communication. Yet handcrafting layout designs is skill-demanding, time-consuming, and non-scalable to batch production. Generative models emerge to make design automation scalable but…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Ning Yu , Chia-Chih Chen , Zeyuan Chen , Rui Meng , Gang Wu , Paul Josel , Juan Carlos Niebles , Caiming Xiong , Ran Xu

Training task-oriented dialogue systems is both costly and time-consuming, due to the need for high-quality datasets encompassing diverse intents. Traditional methods depend on extensive human annotation, while recent advancements leverage…

Computation and Language · Computer Science 2025-01-22 Maya Medjad , Hugo Imbert , Bruno Yun , Raphaël Szymocha , Frédéric Armetta

Recent advancements in text-to-image (T2I) generative models have shown remarkable capabilities in producing diverse and imaginative visuals based on text prompts. Despite the advancement, these diffusion models sometimes struggle to…

Computer Vision and Pattern Recognition · Computer Science 2023-11-30 Xiaohui Chen , Yongfei Liu , Yingxiang Yang , Jianbo Yuan , Quanzeng You , Li-Ping Liu , Hongxia Yang

Facial sketches drawn by artists are widely used for visual identification applications and mostly by law enforcement agencies, but the quality of these sketches depend on the ability of the artist to clearly replicate all the key facial…

Computer Vision and Pattern Recognition · Computer Science 2020-05-06 Uche Osahor , Hadi Kazemi , Ali Dabouei , Nasser Nasrabadi

Developing fully parametric building models for performance-based generative design tasks often requires proficiency in many advanced 3D modeling and visual programming, limiting its use for many building designers. Moreover, iterations of…

Human-Computer Interaction · Computer Science 2020-09-02 Mohammad Keshavarzi , Clayton Hutson , Chin-Yi Cheng , Mehdi Nourbakhsh , Michael Bergin , Mohammad Rahmani Asl

The requirement for 3D content is growing as AR/VR application emerges. At the same time, 3D modelling is only available for skillful experts, because traditional methods like Computer-Aided Design (CAD) are often too labor-intensive and…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Ying Zang , Yidong Han , Chaotao Ding , Jianqi Zhang , Tianrun Chen

As 3D models become critical in today's manufacturing and product design, conventional 3D modeling approaches based on Computer-Aided Design (CAD) are labor-intensive, time-consuming, and have high demands on the creators. This work aims to…

Multimedia · Computer Science 2023-10-31 Ying Zang , Chenglong Fu , Tianrun Chen , Yuanqi Hu , Qingshan Liu , Wenjun Hu

Recent advancements in instruction-following models have made user interactions with models more user-friendly and efficient, broadening their applicability. In graphic design, non-professional users often struggle to create visually…

Computer Vision and Pattern Recognition · Computer Science 2024-04-24 Wanrong Zhu , Jennifer Healey , Ruiyi Zhang , William Yang Wang , Tong Sun

Engineering sketches form the 2D basis of parametric Computer-Aided Design (CAD), the foremost modeling paradigm for manufactured objects. In this paper we tackle the problem of learning based engineering sketch generation as a first step…

Machine Learning · Computer Science 2021-04-21 Karl D. D. Willis , Pradeep Kumar Jayaraman , Joseph G. Lambourne , Hang Chu , Yewen Pu

A sketch is one of the most intuitive and versatile tools humans use to convey their ideas visually. An animated sketch opens another dimension to the expression of ideas and is widely used by designers for a variety of purposes. Animating…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Rinon Gal , Yael Vinker , Yuval Alaluf , Amit H. Bermano , Daniel Cohen-Or , Ariel Shamir , Gal Chechik