Vector Graphics
27 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Vector Graphics
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Latest papers
SVGEditBench: A Benchmark Dataset for Quantitative Assessment of LLM's SVG Editing Capabilities
SVGEditBench is a benchmark for assessing the LLMs' ability to edit SVG code.
BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs
lyleregenwetter/biked_multimodal
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The dataset is created through the use of a rendering engine which harnesses the BikeCAD software to generate vector graphics from parametric designs.
Symbol as Points: Panoptic Symbol Spotting via Point-based Representation
Finally, we propose a KNN interpolation mechanism for the mask attention module of the spotting head to better handle primitive mask downsampling, which is primitive-level in contrast to pixel-level for the image.
SVGDreamer: Text Guided SVG Generation with Diffusion Model
However, existing text-to-SVG generation methods lack editability and struggle with visual quality and result diversity.
StarVector: Generating Scalable Vector Graphics Code from Images
These visual tokens are pre-pended to the SVG token embeddings, and the sequence is modeled by the StarCoder model using next-token prediction, effectively learning to align the visual and code tokens.
AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ
To address this, we propose the use of TikZ, a well-known abstract graphics language that can be compiled to vector graphics, as an intermediate representation of scientific figures.
Image Vectorization: a Review
Vectorization is the process of converting a raster image into a similar vector image using primitive shapes.
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.
DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality
yizhiwang96/deepvecfont-v2
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CVPR 2023
First, we adopt Transformers instead of RNNs to process sequential data and design a relaxation representation for vector outlines, markedly improving the model's capability and stability of synthesizing long and complex outlines.
Neural Style Transfer for Vector Graphics
We also develop a new method based on differentiable rasterization that uses these loss functions and can change the color and shape parameters of the content image corresponding to the drawing of the style image.
