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Creating the photo-realistic version of people sketched portraits is useful to various entertainment purposes. Existing studies only generate portraits in the 2D plane with fixed views, making the results less vivid. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2023-10-03 Yasheng Sun , Qianyi Wu , Hang Zhou , Kaisiyuan Wang , Tianshu Hu , Chen-Chieh Liao , Shio Miyafuji , Ziwei Liu , Hideki Koike

VR sketching lets users explore and iterate on ideas directly in 3D, offering a faster and more intuitive alternative to conventional CAD tools. However, existing sketch-to-shape models ignore the temporal ordering of strokes, discarding…

Computer Vision and Pattern Recognition · Computer Science 2026-03-18 Yizi Chen , Sidi Wu , Tianyi Xiao , Nina Wiedemann , Loic Landrieu

Hand-drawn sketches are a natural and efficient medium for capturing and conveying ideas. Despite significant advancements in controllable natural image generation, translating freehand sketches into structured, machine-readable diagrams…

Artificial Intelligence · Computer Science 2025-08-05 Cheng Tan , Qi Chen , Jingxuan Wei , Gaowei Wu , Zhangyang Gao , Siyuan Li , Bihui Yu , Ruifeng Guo , Stan Z. Li

Generating diverse and natural human motion is one of the long-standing goals for creating intelligent characters in the animated world. In this paper, we propose a self-supervised method for generating long-range, diverse and plausible…

Computer Vision and Pattern Recognition · Computer Science 2020-08-25 Jingwei Xu , Huazhe Xu , Bingbing Ni , Xiaokang Yang , Xiaolong Wang , Trevor Darrell

Sound-shape associations, a subset of cross-modal associations between the auditory and visual domain, have been studied mainly in the context of matching a set of purposefully crafted shapes to sounds. Recent studies have explored how…

Multimedia · Computer Science 2022-05-19 Sebastian Löbbers , György Fazekas

Vectorizing hand-drawn sketches is a challenging task, which is of paramount importance for creating CAD vectorized versions for the fashion and creative workflows. This paper proposes a complete framework that automatically transforms…

Computer Vision and Pattern Recognition · Computer Science 2018-02-19 Luca Donati , Simone Cesano , Andrea Prati

We study the underexplored but fundamental vision problem of machine understanding of abstract freehand scene sketches. We introduce a sketch encoder that results in semantically-aware feature space, which we evaluate by testing its…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Ahmed Bourouis , Judith Ellen Fan , Yulia Gryaditskaya

Generative art is a rules-driven approach to creating artistic outputs in various mediums. For example, a fluid simulation can govern the flow of colored pixels across a digital display or a rectangle placement algorithm can yield a…

Neural and Evolutionary Computing · Computer Science 2024-07-30 Erik M. Fredericks , Denton Bobeldyk , Jared M. Moore

Capturing and labeling real-world 3D data is laborious and time-consuming, which makes it costly to train strong 3D models. To address this issue, recent works present a simple method by generating randomized 3D scenes without simulation…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Lanxiao Li , Michael Heizmann

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

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

Generating synthetic images is an art which emulates the natural process of image generation in a closest possible manner. In this work, we exploit such a framework for data generation in handwritten domain. We render synthetic data using…

Computer Vision and Pattern Recognition · Computer Science 2016-08-16 Praveen Krishnan , C. V. Jawahar

In this paper, we explore the unique modality of sketch for explainability, emphasising the profound impact of human strokes compared to conventional pixel-oriented studies. Beyond explanations of network behavior, we discern the genuine…

Computer Vision and Pattern Recognition · Computer Science 2024-03-15 Hmrishav Bandyopadhyay , Pinaki Nath Chowdhury , Ayan Kumar Bhunia , Aneeshan Sain , Tao Xiang , Yi-Zhe Song

Sketching enables many exciting applications, notably, image retrieval. The fear-to-sketch problem (i.e., "I can't sketch") has however proven to be fatal for its widespread adoption. This paper tackles this "fear" head on, and for the…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Ayan Kumar Bhunia , Subhadeep Koley , Abdullah Faiz Ur Rahman Khilji , Aneeshan Sain , Pinaki Nath Chowdhury , Tao Xiang , Yi-Zhe Song

We present a novel, regression-based method for artistically styling images. Unlike recent neural style transfer or diffusion-based approaches, our method allows for explicit control over the stroke composition and level of detail in the…

Graphics · Computer Science 2026-01-07 Ian Jaffray , John Bronskill

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

Parametric computer-aided design (CAD) tools are the predominant way that engineers specify physical structures, from bicycle pedals to airplanes to printed circuit boards. The key characteristic of parametric CAD is that design intent is…

Machine Learning · Computer Science 2022-04-29 Ari Seff , Wenda Zhou , Nick Richardson , Ryan P. Adams

Recent advances in generative models and adversarial training have enabled artificially generating artworks in various artistic styles. It is highly desirable to gain more control over the generated style in practice. However, artistic…

Computer Vision and Pattern Recognition · Computer Science 2021-10-26 Xin Miao , Huayan Wang , Jun Fu , Jiayi Liu , Shen Wang , Zhenyu Liao

Recent successes in image synthesis are powered by large-scale diffusion models. However, most methods are currently limited to either text- or image-conditioned generation for synthesizing an entire image, texture transfer or inserting…

Computer Vision and Pattern Recognition · Computer Science 2023-05-23 Yufei Ye , Xueting Li , Abhinav Gupta , Shalini De Mello , Stan Birchfield , Jiaming Song , Shubham Tulsiani , Sifei Liu

Assistive drawing aims to facilitate the creative process by providing intelligent guidance to artists. Existing solutions often fail to effectively model intricate stroke details or adequately address the temporal aspects of drawing. We…

Computer Vision and Pattern Recognition · Computer Science 2024-08-20 Haoyun Qin , Jian Lin , Hanyuan Liu , Xueting Liu , Chengze Li