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Related papers: Discovering Design Concepts for CAD Sketches

200 papers

Machine learning models that first learn a representation of a domain in terms of human-understandable concepts, then use it to make predictions, have been proposed to facilitate interpretation and interaction with models trained on…

Machine Learning · Computer Science 2020-12-08 Isaac Lage , Finale Doshi-Velez

Probabilistic ideas and tools have recently begun to permeate into several fields where they had traditionally not played a major role, including fields such as numerical linear algebra and optimization. One of the key ways in which these…

Numerical Analysis · Mathematics 2016-12-20 Robert M. Gower

In this paper, we propose a novel abstraction-aware sketch-based image retrieval framework capable of handling sketch abstraction at varied levels. Prior works had mainly focused on tackling sub-factors such as drawing style and order, we…

Computer Vision and Pattern Recognition · Computer Science 2024-03-22 Subhadeep Koley , Ayan Kumar Bhunia , Aneeshan Sain , Pinaki Nath Chowdhury , Tao Xiang , Yi-Zhe Song

We present a simple and efficient method based on deep learning to automatically decompose sketched objects into semantically valid parts. We train a deep neural network to transfer existing segmentations and labelings from 3D models to…

Graphics · Computer Science 2018-08-01 Lei Li , Hongbo Fu , Chiew-Lan Tai

Conceptualizing away the sketch processing details in a user interface will enable general users and domain experts to create more complex sketches. There are many domains for which sketch recognition systems are being developed. But they…

Computer Vision and Pattern Recognition · Computer Science 2012-11-13 Vasudha Vashisht , Tanupriya Choudhury , T. V. Prasad

Text-to-image models are showcasing the impressive ability to create high-quality and diverse generative images. Nevertheless, the transition from freehand sketches to complex scene images remains challenging using diffusion models. In this…

Computer Vision and Pattern Recognition · Computer Science 2024-07-10 Tianyu Zhang , Xiaoxuan Xie , Xusheng Du , Haoran Xie

In this paper, we tackle for the first time, the problem of self-supervised representation learning for free-hand sketches. This importantly addresses a common problem faced by the sketch community -- that annotated supervisory data are…

Computer Vision and Pattern Recognition · Computer Science 2020-02-04 Peng Xu , Zeyu Song , Qiyue Yin , Yi-Zhe Song , Liang Wang

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…

Articulation modeling aims to infer movable parts and their motion parameters for a 3D object, enabling interactive animation, simulation, and shape editing. In this paper, we present Sketch2Arti, the first sketch-based articulation…

Computer Vision and Pattern Recognition · Computer Science 2026-04-29 Yi Yang , Hao Pan , Yijing Cui , Alla Sheffer , Changjian Li

User Interface (UI) prototyping is a necessary step in the early stages of application development. Transforming sketches of a Graphical User Interface (UI) into a coded UI application is an uninspired but time-consuming task performed by a…

Computer Vision and Pattern Recognition · Computer Science 2019-10-22 Vanita Jain , Piyush Agrawal , Subham Banga , Rishabh Kapoor , Shashwat Gulyani

We introduce the concept of code shaping, an interaction paradigm for editing code using free-form sketch annotations directly on top of the code and console output. To evaluate this concept, we conducted a three-stage design study with 18…

Human-Computer Interaction · Computer Science 2025-02-11 Ryan Yen , Jian Zhao , Daniel Vogel

Sketches are the most abstract 2D representations of real-world objects. Although a sketch usually has geometrical distortion and lacks visual cues, humans can effortlessly envision a 3D object from it. This suggests that sketches encode…

Computer Vision and Pattern Recognition · Computer Science 2022-01-20 Jiayun Wang , Jierui Lin , Qian Yu , Runtao Liu , Yubei Chen , Stella X. Yu

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

The rapid development of AR/VR brings tremendous demands for 3D content. While the widely-used Computer-Aided Design (CAD) method requires a time-consuming and labor-intensive modeling process, sketch-based 3D modeling offers a potential…

Computer Vision and Pattern Recognition · Computer Science 2023-09-25 Tianrun Chen , Chenglong Fu , Ying Zang , Lanyun Zhu , Jia Zhang , Papa Mao , Lingyun Sun

This paper, for the first time, marries large foundation models with human sketch understanding. We demonstrate what this brings -- a paradigm shift in terms of generalised sketch representation learning (e.g., classification). This…

Computer Vision and Pattern Recognition · Computer Science 2024-07-08 Hmrishav Bandyopadhyay , Pinaki Nath Chowdhury , Aneeshan Sain , Subhadeep Koley , Tao Xiang , Ayan Kumar Bhunia , Yi-Zhe Song

We propose a modular architecture for the lifelong learning of hierarchically structured tasks. Specifically, we prove that our architecture is theoretically able to learn tasks that can be solved by functions that are learnable given…

Machine Learning · Computer Science 2021-12-22 Zihao Deng , Zee Fryer , Brendan Juba , Rina Panigrahy , Xin Wang

Machine learning models are trained with relatively simple objectives, such as next token prediction. However, on deployment, they appear to capture a more fundamental representation of their input data. It is of interest to understand the…

Machine Learning · Computer Science 2024-12-23 Thomas Walker

We investigate the problem of generating 3D meshes from single free-hand sketches, aiming at fast 3D modeling for novice users. It can be regarded as a single-view reconstruction problem, but with unique challenges, brought by the variation…

Computer Vision and Pattern Recognition · Computer Science 2021-05-17 Song-Hai Zhang , Yuan-Chen Guo , Qing-Wen Gu

Sketches are a medium to convey a visual scene from an individual's creative perspective. The addition of color substantially enhances the overall expressivity of a sketch. This paper proposes two methods to mimic human-drawn colored…

Computer Vision and Pattern Recognition · Computer Science 2022-01-10 V Manushree , Sameer Saxena , Parna Chowdhury , Manisimha Varma , Harsh Rathod , Ankita Ghosh , Sahil Khose

Computer-Aided Design (CAD) generative modeling is driving significant innovations across industrial applications. Recent works have shown remarkable progress in creating solid models from various inputs such as point clouds, meshes, and…

Computer Vision and Pattern Recognition · Computer Science 2025-09-12 Feiwei Qin , Shichao Lu , Junhao Hou , Changmiao Wang , Meie Fang , Ligang Liu