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Related papers: SuperSVG: Superpixel-based Scalable Vector Graphic…

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In the field of computer graphics, the use of vector graphics, particularly Scalable Vector Graphics (SVG), represents a notable development from traditional pixel-based imagery. SVGs, with their XML-based format, are distinct in their…

Computer Vision and Pattern Recognition · Computer Science 2023-11-28 Tong Zhang , Haoyang Liu , Peiyan Zhang , Yuxuan Cheng , Haohan Wang

Vector graphics are widely used in graphical designs and have received more and more attention. However, unlike raster images which can be easily obtained, acquiring high-quality vector graphics, typically through automatically converting…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 Haokun Zhu , Juang Ian Chong , Teng Hu , Ran Yi , Yu-Kun Lai , Paul L. Rosin

Scalable Vector Graphics (SVGs) are vital for modern image rendering due to their scalability and versatility. Previous SVG generation methods have focused on curve-based vectorization, lacking semantic understanding, often producing…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Juan A. Rodriguez , Abhay Puri , Shubham Agarwal , Issam H. Laradji , Pau Rodriguez , Sai Rajeswar , David Vazquez , Christopher Pal , Marco Pedersoli

Scalable Vector Graphics (SVG) are an essential format for technical illustration and digital design, offering precise resolution independence and flexible semantic editability. In practice, however, original vector source files are…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Qijia He , Xunmei Liu , Hammaad Memon , Ziang Li , Zixian Ma , Jaemin Cho , Jason Ren , Daniel S Weld , Ranjay Krishna

Scalable Vector Graphics (SVG) are essential XML-based formats for versatile graphics, offering resolution independence and scalability. Unlike raster images, SVGs use geometric shapes and support interactivity, animation, and manipulation…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Zehao Chen , Rong Pan

Scalable Vector Graphics (SVG) are ubiquitous in modern 2D interfaces due to their ability to scale to different resolutions. However, despite the success of deep learning-based models applied to rasterized images, the problem of vector…

Computer Vision and Pattern Recognition · Computer Science 2020-10-23 Alexandre Carlier , Martin Danelljan , Alexandre Alahi , Radu Timofte

Diffusion models have shown impressive results in text-to-image synthesis. Using massive datasets of captioned images, diffusion models learn to generate raster images of highly diverse objects and scenes. However, designers frequently use…

Computer Vision and Pattern Recognition · Computer Science 2022-11-22 Ajay Jain , Amber Xie , Pieter Abbeel

Scalable Vector Graphics (SVG) has become the de facto standard for vector graphics in digital design, offering resolution independence and precise control over individual elements. Despite their advantages, creating high-quality SVG…

Computer Vision and Pattern Recognition · Computer Science 2025-11-13 Ronghuan Wu , Wanchao Su , Jing Liao

Recent advances in image generation have achieved remarkable visual quality, while a fundamental challenge remains: Can image generation be controlled at the element level, enabling intuitive modifications such as adjusting shapes, altering…

Computer Vision and Pattern Recognition · Computer Science 2026-02-17 Lanqing Guo , Xi Liu , Yufei Wang , Zhihao Li , Siyu Huang

Text-guided scalable vector graphics (SVG) synthesis has broad applications in icon and sketch generation. However, existing text-to-SVG methods often suffer from limited editability, suboptimal visual quality, and low sample diversity. To…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Ximing Xing , Haitao Zhou , Chuang Wang , Jing Zhang , Dong Xu , Qian Yu

Vector graphics are essential in design, providing artists with a versatile medium for creating resolution-independent and highly editable visual content. Recent advancements in vision-language and diffusion models have fueled interest in…

Computer Vision and Pattern Recognition · Computer Science 2025-01-08 Sagi Polaczek , Yuval Alaluf , Elad Richardson , Yael Vinker , Daniel Cohen-Or

Vector graphics are widely used in digital art and valued by designers for their scalability and layer-wise topological properties. However, the creation and editing of vector graphics necessitate creativity and design expertise, leading to…

Computer Vision and Pattern Recognition · Computer Science 2023-09-22 Peiying Zhang , Nanxuan Zhao , Jing Liao

Scalable Vector Graphics are a standard representation for editable visual design, yet they are usually authored as single view two dimensional illustrations. This limits their use in applications that require object level assets to remain…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Mengnan Jiang , Zhaolin Sun , Christian Franke , Michele Franco Adesso , Antonio Haas , Grace Li Zhang

Nowadays, there are many diffusion and autoregressive models that show impressive results for generating images from text and other input domains. However, these methods are not intended for ultra-high-resolution image synthesis. Vector…

Computer Vision and Pattern Recognition · Computer Science 2023-06-13 Maria Dziuba , Ivan Jarsky , Valeria Efimova , Andrey Filchenkov

In contrast to the well-established technique of rasterization, vectorization of images poses a significant challenge in the field of computer graphics. Recent learning-based methods for converting raster images to vector formats frequently…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Qi Bing , Chaoyi Zhang , Weidong Cai

Image rasterization is a mature technique in computer graphics, while image vectorization, the reverse path of rasterization, remains a major challenge. Recent advanced deep learning-based models achieve vectorization and semantic…

Computer Vision and Pattern Recognition · Computer Science 2022-06-10 Xu Ma , Yuqian Zhou , Xingqian Xu , Bin Sun , Valerii Filev , Nikita Orlov , Yun Fu , Humphrey Shi

We introduce LiveSVG, a zero-shot approach for generating Scalable Vector Graphics (SVG) animations using video diffusion models. Current SVG animation methods struggle with complex motions: LLM-based code synthesis fails to express fine,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-29 Matan Levy , Ran Margolin , Bar Cavia , Dvir Samuel , Yael Pritch , Shmuel Peleg , Alex Rav Acha , Ariel Shamir , Dani Lischinski

Scalable Vector Graphics (SVG) is widely used in front-end development and UI/UX design due to its scalability, editability, and rendering efficiency. However, turning creative ideas into precise vector graphics remains a time-consuming…

Machine Learning · Computer Science 2025-08-14 Feiyu Wang , Zhiyuan Zhao , Yuandong Liu , Da Zhang , Junyu Gao , Hao Sun , Xuelong Li

Scalable Vector Graphics (SVG) is an important image format widely adopted in graphic design because of their resolution independence and editability. The study of generating high-quality SVG has continuously drawn attention from both…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Yiying Yang , Wei Cheng , Sijin Chen , Xianfang Zeng , Fukun Yin , Jiaxu Zhang , Liao Wang , Gang Yu , Xingjun Ma , Yu-Gang Jiang

Recently, text-guided scalable vector graphics (SVG) synthesis has demonstrated significant potential in domains such as iconography and sketching. However, SVGs generated from existing Text-to-SVG methods often lack editability and exhibit…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Ximing Xing , Qian Yu , Chuang Wang , Haitao Zhou , Jing Zhang , Dong Xu
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