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3D human pose estimation from sketches has broad applications in computer animation and film production. Unlike traditional human pose estimation, this task presents unique challenges due to the abstract and disproportionate nature of…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Li Wang , Yiyu Zhuang , Yanwen Wang , Xun Cao , Chuan Guo , Xinxin Zuo , Hao Zhu

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

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

Synthesizing face images from monochrome sketches is one of the most fundamental tasks in the field of image-to-image translation. However, it is still challenging to (1)~make models learn the high-dimensional face features such as geometry…

Computer Vision and Pattern Recognition · Computer Science 2023-02-28 Yichen Peng , Chunqi Zhao , Haoran Xie , Tsukasa Fukusato , Kazunori Miyata

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

Ongoing advancements in the fields of 3D modelling and digital archiving have led to an outburst in the amount of data stored digitally. Consequently, several retrieval systems have been developed depending on the type of data stored in…

Computer Vision and Pattern Recognition · Computer Science 2021-07-21 Bharadwaj Manda , Shubham Dhayarkar , Sai Mitheran , V. K. Viekash , Ramanathan Muthuganapathy

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…

We present a fully automatic method to generate detailed and accurate artistic shadows from pairs of line drawing sketches and lighting directions. We also contribute a new dataset of one thousand examples of pairs of line drawings and…

Computer Vision and Pattern Recognition · Computer Science 2020-04-06 Qingyuan Zheng , Zhuoru Li , Adam Bargteil

We propose a new approach for synthesizing fully detailed art-stylized images from sketches. Given a sketch, with no semantic tagging, and a reference image of a specific style, the model can synthesize meaningful details with colors and…

Computer Vision and Pattern Recognition · Computer Science 2020-10-05 Bingchen Liu , Kunpeng Song , Ahmed Elgammal

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

Geometry- and appearance-controlled full-body human image generation is an interesting but challenging task. Existing solutions are either unconditional or dependent on coarse conditions (e.g., pose, text), thus lacking explicit geometry…

Computer Vision and Pattern Recognition · Computer Science 2024-04-25 Linzi Qu , Jiaxiang Shang , Hui Ye , Xiaoguang Han , Hongbo Fu

We present InstantMesh, a feed-forward framework for instant 3D mesh generation from a single image, featuring state-of-the-art generation quality and significant training scalability. By synergizing the strengths of an off-the-shelf…

Computer Vision and Pattern Recognition · Computer Science 2024-04-16 Jiale Xu , Weihao Cheng , Yiming Gao , Xintao Wang , Shenghua Gao , Ying Shan

Designing stylized cinemagraphs is challenging due to the difficulty in customizing complex and expressive flow elements. To achieve intuitive and detailed control of the generated cinemagraphs, sketches provide a feasible solution to…

Computer Vision and Pattern Recognition · Computer Science 2026-03-12 Hao Jin , Hengyuan Chang , Xiaoxuan Xie , Zhengyang Wang , Xusheng Du , Shaojun Hu , Haoran Xie

2D concept art generation for 3D scenes is a crucial yet challenging task in computer graphics, as creating natural intuitive environments still demands extensive manual effort in concept design. While generative AI has simplified 2D…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Zhenhong Sun , Yifu Wang , Yonhon Ng , Yongzhi Xu , Daoyi Dong , Hongdong Li , Pan Ji

In the process of product design and digital fabrication, the structural analysis of a designed prototype is a fundamental and essential step. However, such a step is usually invisible or inaccessible to designers at the early sketching…

Computer Vision and Pattern Recognition · Computer Science 2023-12-12 Deng Yu , Chufeng Xiao , Manfred Lau , Hongbo Fu

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

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

In the past decade, advances in artificial intelligence have revolutionized sketch-based 3D modeling, leading to a new paradigm known as Deep Sketch-Based 3D Modeling (DS-3DM). DS-3DM offers data-driven methods that address the…

Creative sketch is a universal way of visual expression, but translating images from an abstract sketch is very challenging. Traditionally, creating a deep learning model for sketch-to-image synthesis needs to overcome the distorted input…

Computer Vision and Pattern Recognition · Computer Science 2023-05-31 Qiang Wang , Di Kong , Fengyin Lin , Yonggang Qi

For designing a wide range of everyday objects, the design process should be aware of both the human body and the underlying semantics of the design specification. However, these two objectives present significant challenges to the current…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Michelle Guo , Mia Tang , Hannah Cha , Ruohan Zhang , C. Karen Liu , Jiajun Wu
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