Vector Graphics

24 papers with code • 0 benchmarks • 1 datasets

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Most implemented papers

FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans

art-programmer/FloorNet ECCV 2018

The ultimate goal of this indoor mapping research is to automatically reconstruct a floorplan simply by walking through a house with a smartphone in a pocket.

A Learned Representation for Scalable Vector Graphics

tensorflow/magenta ICCV 2019

Dramatic advances in generative models have resulted in near photographic quality for artificially rendered faces, animals and other objects in the natural world.

Recognizing Vector Graphics without Rasterization

microsoft/YOLaT-VectorGraphicsRecognition NeurIPS 2021

In this paper, we consider a different data format for images: vector graphics.

Automating Style Analysis and Visualization With Explainable AI -- Case Studies on Brand Recognition

parksandrecfan/bignet-car 5 Jun 2023

In the first case study, BIGNet not only classifies phone brands but also captures brand-related features across multiple scales, such as the location of the lens, the height-width ratio, and the screen-frame gap, as confirmed by AI evaluation.

Infomap Bioregions: Interactive mapping of biogeographical regions from species distributions

mapequation/bioregions 30 Nov 2016

As examples of applications, researchers can reconstruct ancestral ranges in historical biogeography or identify indicator species for targeted conservation.

Raster-To-Vector: Revisiting Floorplan Transformation

art-programmer/FloorplanTransformation ICCV 2017

A neural architecture first transforms a rasterized image to a set of junctions that represent low-level geometric and semantic information (e. g., wall corners or door end-points).

UV-Net: Learning from Boundary Representations

AutodeskAILab/UV-Net CVPR 2021

We introduce UV-Net, a novel neural network architecture and representation designed to operate directly on Boundary representation (B-rep) data from 3D CAD models.

DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation

alexandre01/deepsvg NeurIPS 2020

Scalable Vector Graphics (SVG) are ubiquitous in modern 2D interfaces due to their ability to scale to different resolutions.

Differentiable Vector Graphics Rasterization for Editing and Learning

BachiLi/diffvg ACM Transactions on Graphics 2020

We introduce a differentiable rasterizer that bridges the vector graphics and raster image domains, enabling powerful raster-based loss functions, optimization procedures, and machine learning techniques to edit and generate vector content.

Im2Vec: Synthesizing Vector Graphics without Vector Supervision

preddy5/Im2Vec CVPR 2021

The current alternative is to use specialized models that require explicit supervision on the vector graphics representation at training time.