Vector Graphics
27 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Vector Graphics
SPARE3D
Most implemented papers
SVG-Net: An SVG-based Trajectory Prediction Model
Finally, we illustrate how, by using SVG, one can benefit from datasets and advancements in other research fronts that also utilize the same input format.
MARVEL: Raster Manga Vectorization via Primitive-wise Deep Reinforcement Learning
Manga is a fashionable Japanese-style comic form that is composed of black-and-white strokes and is generally displayed as raster images on digital devices.
ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives
Selection functionality is as fundamental to vector graphics as it is for raster data.
Conditional Vector Graphics Generation for Music Cover Images
As almost all the existing image synthesis algorithms consider an image as a pixel matrix, the high-resolution image synthesis is complicated. A good alternative can be vector images.
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising
aminshabani/house_diffusion
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CVPR 2023
The paper presents a novel approach for vector-floorplan generation via a diffusion model, which denoises 2D coordinates of room/door corners with two inference objectives: 1) a single-step noise as the continuous quantity to precisely invert the continuous forward process; and 2) the final 2D coordinate as the discrete quantity to establish geometric incident relationships such as parallelism, orthogonality, and corner-sharing.
CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics
Considerable progress has recently been made in leveraging CLIP (Contrastive Language-Image Pre-Training) models for text-guided image manipulation.
Stroke-based Rendering: From Heuristics to Deep Learning
In the last few years, artistic image-making with deep learning models has gained a considerable amount of traction.
VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation
drziji/vecfloorseg
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CVPR 2023
To overcome these issues, we propose to fully utilize the regular elements in vector floorplans for more integral segmentation.
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.
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.
