Vector Graphics
20 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Vector Graphics
SPARE3D
Most implemented papers
FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans
art-programmer/FloorNet
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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
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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.
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
alexandre01/deepsvg
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NeurIPS 2020
Scalable Vector Graphics (SVG) are ubiquitous in modern 2D interfaces due to their ability to scale to different resolutions.
Recognizing Vector Graphics without Rasterization
microsoft/YOLaT-VectorGraphicsRecognition
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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
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
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
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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
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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.
Differentiable Vector Graphics Rasterization for Editing and Learning
BachiLi/diffvg
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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
The current alternative is to use specialized models that require explicit supervision on the vector graphics representation at training time.
