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Related papers: Text2CAD: Generating Sequential CAD Models from Be…

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Well-designed prompts can guide text-to-image models to generate amazing images. However, the performant prompts are often model-specific and misaligned with user input. Instead of laborious human engineering, we propose prompt adaptation,…

Computation and Language · Computer Science 2024-01-01 Yaru Hao , Zewen Chi , Li Dong , Furu Wei

Engineering design research integrating artificial intelligence (AI) into computer-aided design (CAD) and computer-aided engineering (CAE) is actively being conducted. This study proposes a deep learning-based CAD/CAE framework in the…

Graphics · Computer Science 2022-10-04 Soyoung Yoo , Sunghee Lee , Seongsin Kim , Kwang Hyeon Hwang , Jong Ho Park , Namwoo Kang

Computer-Aided Design (CAD) is widely used for conceptual design and parametric 3D modeling, but typically requires a high level of expertise from designers. To lower the entry barrier and facilitate early-stage CAD modeling, we present…

Artificial Intelligence · Computer Science 2026-05-20 Fengxiao Fan , Jingzhe Ni , Xiaolong Yin , Sirui Wang , Xingyu Lu , Qiang Zou , Ruofeng Tong , Min Tang , Peng Du

To help users do complex work, researchers have developed techniques to integrate AI and human intelligence into user interfaces (UIs). With the recent introduction of large language models (LLMs), which can generate text in response to a…

Human-Computer Interaction · Computer Science 2023-07-04 Stephen MacNeil , Andrew Tran , Joanne Kim , Ziheng Huang , Seth Bernstein , Dan Mogil

Text-to-Image (T2I) models have recently achieved remarkable success in generating images from textual descriptions. However, challenges still persist in accurately rendering complex scenes where actions and interactions form the primary…

Computer Vision and Pattern Recognition · Computer Science 2025-09-22 Vatsal Malaviya , Agneet Chatterjee , Maitreya Patel , Yezhou Yang , Chitta Baral

Large language models (LLMs) enable system builders today to create competent NLP systems through prompting, where they only need to describe the task in natural language and provide a few examples. However, in other ways, LLMs are a step…

Computation and Language · Computer Science 2023-08-24 Vijay Viswanathan , Chenyang Zhao , Amanda Bertsch , Tongshuang Wu , Graham Neubig

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

We present \textsc{Vx2Text}, a framework for text generation from multimodal inputs consisting of video plus text, speech, or audio. In order to leverage transformer networks, which have been shown to be effective at modeling language, each…

Computer Vision and Pattern Recognition · Computer Science 2021-02-02 Xudong Lin , Gedas Bertasius , Jue Wang , Shih-Fu Chang , Devi Parikh , Lorenzo Torresani

The construction of CAD models has traditionally relied on labor-intensive manual operations and specialized expertise. Recent advances in large language models (LLMs) have inspired research into text-to-CAD generation. However, existing…

Computation and Language · Computer Science 2026-04-23 Jiyuan An , Jiachen Zhao , Fan Chen , Liner Yang , Zhenghao Liu , Hongyan Wang , Weihua An , Meishan Zhang , Erhong Yang

Machine Learning (ML) research is spread through academic papers featuring rich multimodal content, including text, diagrams, and tabular results. However, translating these multimodal elements into executable code remains a challenging and…

Software Engineering · Computer Science 2025-05-27 Zijie Lin , Yiqing Shen , Qilin Cai , He Sun , Jinrui Zhou , Mingjun Xiao

Current text-to-image (T2I) generation models achieve promising results, but they fail on the scenarios where the knowledge implied in the text prompt is uncertain. For example, a T2I model released in February would struggle to generate a…

Computer Vision and Pattern Recognition · Computer Science 2025-05-22 Chuanhao Li , Jianwen Sun , Yukang Feng , Mingliang Zhai , Yifan Chang , Kaipeng Zhang

Generating high-quality and diverse human images is an important yet challenging task in vision and graphics. However, existing generative models often fall short under the high diversity of clothing shapes and textures. Furthermore, the…

Computer Vision and Pattern Recognition · Computer Science 2022-06-01 Yuming Jiang , Shuai Yang , Haonan Qiu , Wayne Wu , Chen Change Loy , Ziwei Liu

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

The convergence of text, visual, and audio data is a key step towards human-like artificial intelligence, however the current Vision-Language-Speech landscape is dominated by encoder-only models which lack generative abilities. We propose…

While recent text-to-image (T2I) models show impressive capabilities in synthesizing images from brief descriptions, their performance significantly degrades when confronted with long, detail-intensive prompts required in professional…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Qirui Jiao , Daoyuan Chen , Yilun Huang , Xika Lin , Ying Shen , Yaliang Li

How far are we really from automatically generating neural networks? While neural network weight generation shows promise, current approaches struggle with generalization to unseen tasks and practical application exploration. To address…

Machine Learning · Computer Science 2025-08-20 Bowen Tian , Wenshuo Chen , Zexi Li , Songning Lai , Jiemin Wu , Yutao Yue

Computer-aided design (CAD) is a way to digitally create 2D drawings and 3D models of real-world products. Traditional CAD typically relies on hand-drawing by experts or modifications of existing library files, which doesn't allow for rapid…

Graphics · Computer Science 2025-05-14 Changqi He , Shuhan Zhang , Liguo Zhang , Jiajun Miao

Thanks to recent advancements in scalable deep architectures and large-scale pretraining, text-to-video generation has achieved unprecedented capabilities in producing high-fidelity, instruction-following content across a wide range of…

Computer Vision and Pattern Recognition · Computer Science 2025-05-09 Xuyang Guo , Jiayan Huo , Zhenmei Shi , Zhao Song , Jiahao Zhang , Jiale Zhao

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

Computer-aided design (CAD) is the most widely used modeling approach for technical design. The typical starting point in these designs is 2D sketches which can later be extruded and combined to obtain complex three-dimensional assemblies.…

Machine Learning · Computer Science 2021-06-08 Wamiq Reyaz Para , Shariq Farooq Bhat , Paul Guerrero , Tom Kelly , Niloy Mitra , Leonidas Guibas , Peter Wonka
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