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Related papers: Recognizing Vector Graphics without Rasterization

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The widespread use of vector graphics creates a significant demand for vectorization methods. While recent learning-based techniques have shown their capability to create vector images of clear topology, filling these primitives with…

Computer Vision and Pattern Recognition · Computer Science 2024-08-29 Hengyu Zhou , Hui Zhang , Bin Wang

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

Vector graphics are widely used to represent fonts, logos, digital artworks, and graphic designs. But, while a vast body of work has focused on generative algorithms for raster images, only a handful of options exists for vector graphics.…

Computer Vision and Pattern Recognition · Computer Science 2021-04-02 Pradyumna Reddy , Michael Gharbi , Michal Lukac , Niloy J. Mitra

Computer graphics, comprising both raster and vector components, is a fundamental part of modern science, industry, and digital communication. While raster graphics offer ease of use, its pixel-based structure limits scalability. Vector…

Computer Vision and Pattern Recognition · Computer Science 2026-02-12 Egor Bazhenov , Stepan Kasai , Viacheslav Shalamov , Valeria Efimova

This paper proposes to improve visual question answering (VQA) with structured representations of both scene contents and questions. A key challenge in VQA is to require joint reasoning over the visual and text domains. The predominant…

Computer Vision and Pattern Recognition · Computer Science 2017-03-31 Damien Teney , Lingqiao Liu , Anton van den Hengel

Recent vision-language model (VLM)-based approaches have achieved impressive results on image vectorization tasks. However, they are typically evaluated on synthetic benchmarks, where clean SVGs are rasterized at high resolution and then…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Tarun Gehlaut , Difan Liu , Charu Bansal , Krutik Malani , Souymodip Chakraborty , Ankit Phogat , Matthew Fisher , Vineet Batra

Document extraction is an important step before retrieval-augmented generation (RAG), knowledge bases, and downstream generative AI can work. It turns unstructured documents like PDFs and scans into structured text and layout-aware…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Aman Ulla

Image vectorization is a powerful technique that converts raster images into vector graphics, enabling enhanced flexibility and interactivity. However, popular image vectorization tools struggle with occluded regions, producing incomplete…

Computer Vision and Pattern Recognition · Computer Science 2025-11-14 Ronghuan Wu , Wanchao Su , Jing Liao

Image vectorization is a process to convert a raster image into a scalable vector graphic format. Objective is to effectively remove the pixelization effect while representing boundaries of image by scaleable parameterized curves. We…

Computer Vision and Pattern Recognition · Computer Science 2024-09-11 Ho Law , Sung Ha Kang

3D vector graphics play a crucial role in various applications including 3D shape retrieval, conceptual design, and virtual reality interactions due to their ability to capture essential structural information with minimal representation.…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Chuang Wang , Haitao Zhou , Ling Luo , Qian Yu

Editing raster text is a promising but challenging task. We propose to apply text vectorization for the task of raster text editing in display media, such as posters, web pages, or advertisements. In our approach, instead of applying image…

Computer Vision and Pattern Recognition · Computer Science 2021-10-06 Wataru Shimoda , Daichi Haraguchi , Seiichi Uchida , Kota Yamaguchi

This paper introduces a new approach to extract and analyze vector data from technical drawings in PDF format. Our method involves converting PDF files into SVG format and creating a feature-rich graph representation, which captures the…

Computer Vision and Pattern Recognition · Computer Science 2024-10-03 Andrea Carrara , Stavros Nousias , André Borrmann

Vector graphics, known for their scalability and user-friendliness, provide a unique approach to visual content compared to traditional pixel-based images. Animation of these graphics, driven by the motion of their elements, offers enhanced…

Computer Vision and Pattern Recognition · Computer Science 2025-09-10 Wenshuo Gao , Xicheng Lan , Luyao Zhang , Shuai Yang

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

Layout Analysis (the identification of zones and their classification) is the first step along line segmentation in Optical Character Recognition and similar tasks. The ability of identifying main body of text from marginal text or running…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Thibault Clérice

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

In the realm of vision models, the primary mode of representation is using pixels to rasterize the visual world. Yet this is not always the best or unique way to represent visual content, especially for designers and artists who depict the…

Computer Vision and Pattern Recognition · Computer Science 2024-08-30 Bocheng Zou , Mu Cai , Jianrui Zhang , Yong Jae Lee

Vector graphic documents present visual elements in a resolution free, compact format and are often seen in creative applications. In this work, we attempt to learn a generative model of vector graphic documents. We define vector graphic…

Computer Vision and Pattern Recognition · Computer Science 2021-08-04 Kota Yamaguchi

With the wide usage of data visualizations, a huge number of Scalable Vector Graphic (SVG)-based visualizations have been created and shared online. Accordingly, there has been an increasing interest in exploring how to retrieve…

Human-Computer Interaction · Computer Science 2022-02-15 Haotian Li , Yong Wang , Aoyu Wu , Huan Wei , Huamin Qu

One of the most common ways to represent and share visual designs is with vector graphics. Designers working with vector graphics often explore layout alternatives and generate them by moving and resizing elements. The motivation for this…

Human-Computer Interaction · Computer Science 2023-09-22 Jeremy Warner , Shuyao Zhou , Bjoern Hartmann
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