Papers Vector Graphics
“Vector Graphics” 태그가 달린 논문 88편 · 필터 해제
SVGformer: Representation Learning for Continuous Vector Graphics Using Transformers
Advances in representation learning have led to great success in understanding and generating data in various domains. However, in modeling vector graphics data, the pure data-driven approach often yields unsatisfact…
QuantizationRepresentation LearningRetrievalVector GraphicsStroke-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. A large number of these models operate directly in the pixel space and generate raster images. This is …
Deep LearningNeural RenderingVector GraphicsInteractive Sketching of Mannequin Poses
It can be easy and even fun to sketch humans in different poses. In contrast, creating those same poses on a 3D graphics "mannequin" is comparatively tedious. Yet 3D body poses are necessary for various downstream applic…
Vector GraphicsCLIPVG: 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. However, all existing works rely on additional generative models to ens…
Image ManipulationVector GraphicsHouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising
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 quanti…
DenoisingVector GraphicsVectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
Diffusion models have shown impressive results in text-to-image synthesis. Using massive datasets of captioned images, diffusion models learn to generate raster images of highly diverse objects and scenes. However, desig…
Image GenerationText to 3DVector GraphicsRendNet: Unified 2D/3D Recognizer With Latent Space Rendering
Vector graphics (VG) have been ubiquitous in our daily life with vast applications in engineering, architecture, designs, etc. The VG recognition process of most existing methods is to first render the VG into raster gra…
3D Object RecognitionObject RecognitionVector GraphicsConditional Vector Graphics Generation for Music Cover Images
Generative Adversarial Networks (GAN) have motivated a rapid growth of the domain of computer image synthesis. As almost all the existing image synthesis algorithms consider an image as a pixel matrix, the high-resolutio…
Image GenerationText to Image GenerationText-to-Image GenerationVector GraphicsGAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings
Spotting graphical symbols from the computer-aided design (CAD) drawings is essential to many industrial applications. Different from raster images, CAD drawings are vector graphics consisting of geometric primitives suc…
Graph AttentionVector GraphicsReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives
Selection functionality is as fundamental to vector graphics as it is for raster data. But vector selection is quite different: instead of pixel-level labeling, we make a binary decision to include or exclude each vector…
Prototype SelectionVector GraphicsRecognizing Vector Graphics without Rasterization
In this paper, we consider a different data format for images: vector graphics. In contrast to raster graphics which are widely used in image recognition, vector graphics can be scaled up or down into any resolution with…
Graph Neural Networkobject-detectionObject DetectionObject Localization+1MARVEL: 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. Typical mangas have simple textures, wide lines, and few color …
Deep Reinforcement Learningreinforcement-learningReinforcement LearningReinforcement Learning (RL)+1SVG-Net: An SVG-based Trajectory Prediction Model
Anticipating motions of vehicles in a scene is an essential problem for safe autonomous driving systems. To this end, the comprehension of the scene's infrastructure is often the main clue for predicting future trajector…
Autonomous DrivingmodelPredictionTrajectory Prediction+1Learning Implicit Glyph Shape Representation
In this paper, we present a novel implicit glyph shape representation, which models glyphs as shape primitives enclosed by quadratic curves, and naturally enables generating glyph images at arbitrary high resolutions. Ex…
Font Style TransferStyle TransferVector GraphicsFloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting
Access to large and diverse computer-aided design (CAD) drawings is critical for developing symbol spotting algorithms. In this paper, we present FloorPlanCAD, a large-scale real-world CAD drawing dataset containing over…
Vector GraphicsIm2Vec: Synthesizing Vector Graphics without Vector Supervision
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 fo…
Vector GraphicsInteractive SARS-CoV-2 mutation timemaps
As the year 2020 draws to an end, several new strains have been reported for the SARS-CoV-2 coronavirus, the agent responsible for the COVID-19 pandemic that has afflicted us all this past year. However, it is difficult …
Vector GraphicsDifferentiable Vector Graphics Rasterization for Editing and Learning
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 gene…
Vector GraphicsDeepMorph: A System for Hiding Bitstrings in Morphable Vector Drawings
We introduce DeepMorph, an information embedding technique for vector drawings. Provided a vector drawing, such as a Scalable Vector Graphics (SVG) file, our method embeds bitstrings in the image by perturbing the drawin…
Camera Pose EstimationDecoderobject-detectionObject Detection+2DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
Scalable Vector Graphics (SVG) are ubiquitous in modern 2D interfaces due to their ability to scale to different resolutions. However, despite the success of deep learning-based models applied to rasterized images, the p…
Representation LearningVector GraphicsVector Graphics Animation