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About 4,681 papers for “Vector graphics”

Vector Graphics

David W. Rick, Ken S. McAllister, Judd Ethan Ruggill · Encyclopedia of Computer Graphics and Games · 2024

Cited by 0

Vector Graphics

Sabine Hamann, Hauke Hell, Detlef Pankow et al. · 1997

Cited by 0

Vector Graphics Resources

A.T Theobald · Explore Bristol Research · 2009

The links listed here have been gathered to provide a useful collection of vector graphics resources.

Cited by 0

Scalable Vector Graphics

Bhavin Shah · 2007

Scalable Vector Graphics is a new technology for displaying Graphics on the Web. But being a new technology, it is very confusing to use. This paper compares it with the current technology and is also aimed at teaching the reader how to use this SVG technology. At the end of it the reader will be able to design basic Graphics in SVG format.

Cited by 0

Scalable vector graphics

Kotisalo, Anni · Theseus (Ammattikorkeakoulujen) · 2010

Tämä opinnäytetyö käsittelee SVG:tä eli skaalautuvaa vektorigrafiikkaa. Aihetta tarkastel-laan tekniseltä kannalta selventäen formaatin rakennetta, soveltuvuutta ja luomista.; Skaalautuvaan vektorigrafiikkaan tutustuminen aloitetaan kertomalla sen kehityshistoriasta: mistä se on saanut alkunsa ja miten se on matkan varrella muokkautunut nykyiseen muo-toonsa. Lyhyesti kerrotaan myös mitä ovat XML ja vektorigrafiikka, koska nämä yhdistyvät SVG-formaatissa. Seuraavaksi käydään läpi standardin eri profiilit, mitä ne ovat ja mihin tarkoituksiin niistä kukin on laadittu.; Pääosa tekstistä käsittelee SVG:n teknistä rakennetta. Tarkastelu etenee alkaen perusteista, kuten dokumentin määrittelyt, käytettävissä olevat mittayksiköt ja yksinkertaisimmat graafi-set elementit, jatkaen graafisten tehosteiden kanssa ja lopuksi tutustutaan interaktiivisuutta tuoviin ominaisuuksiin, kuten animointi ja ohjelmointi.; Soveltamisesta kertovassa luvussa käydään läpi yleisimmät käyttökohteet ja pohditaan SVG:n soveltuvuutta näihin tarkoituksiin. Työssä tarkastellaan myös ohjelmistoja, joilla skaalautuvaa vektorigrafiikkaa on mahdollista tuottaa ja muokata, sekä tutkitaan katseluoh-jelmien ja selaimien SVG-tukea.; Lopuksi kerrotaan pienimuotoisen casen toteuttamisesta ja tuloksista; casen tarkoituksena on kokeilla hieman käytännössä miten SVG toimii.

Cited by 0

Scalable vector graphics (SVG)

Dean A. Jackson · 2002

Scalable Vector Graphics (SVG) is a language for representing two-dimensional graphics. It was developed by the World Wide Web Consortium (W3C) to be the open standard format for both static and animated vector graphics on Web appliances, from desktop machines to mobile devices. The SVG 1.0 specification, whose authors Include representatives from Adobe, Microsoft, Sun, Kodak, Corel, Macromedia, IBM and Apple, became a W3C Recommendation in September 2001. SVG Is rapidly becoming the open standard of choice for graphics on the Web, and the many SVG implementations already in existence ensure the SVG documents can be viewed on a wide range of platforms.

Cited by 83

Vector Graphics Illustrated Glossary

A.T Theobald · Bristol Research (University of Bristol) · 2009

An alphabetical list of commonly-used terms in vector graphics. Each term is defined and accompanied by one or more illustrations.

Cited by 0

Im2Vec: Synthesizing Vector Graphics without Vector Supervision

Pradyumna Reddy, Michaël Gharbi, Michal Lukáč et al. · arXiv (Cornell University) · 2021

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. One can always rasterize the input graphic and resort to image-based generative approaches, but this negates the advantages of the vector representation. The current alternative is to use specialized models that require explicit supervision on the vector graphics representation at training time. This is not ideal because large-scale high quality vector-graphics datasets are difficult to obtain. Furthermore, the vector representation for a given design is not unique, so models that supervise on the vector representation are unnecessarily constrained. Instead, we propose a new neural network that can generate complex vector graphics with varying topologies, and only requires indirect supervision from readily-available raster training images (i.e., with no vector counterparts). To enable this, we use a differentiable rasterization pipeline that renders the generated vector shapes and composites them together onto a raster canvas. We demonstrate our method on a range of datasets, and provide comparison with state-of-the-art SVG-VAE and DeepSVG, both of which require explicit vector graphics supervision. Finally, we also demonstrate our approach on the MNIST dataset, for which no groundtruth vector representation is available. Source code, datasets, and more results are available at geometry.cs.ucl.ac.uk/projects/2021/Im2Vec/

Cited by 1Open access