Papers Vector Graphics
“Vector Graphics” 태그가 달린 논문 88편 · 필터 해제
Stroke-based Cyclic Amplifier: Image Super-Resolution at Arbitrary Ultra-Large Scales
Prior Arbitrary-Scale Image Super-Resolution (ASISR) methods often experience a significant performance decline when the upsampling factor exceeds the range covered by the training data, introducing substantial blurring.…
Image ReconstructionImage Super-ResolutionSuper-ResolutionVector GraphicsSVGenius: Benchmarking LLMs in SVG Understanding, Editing and Generation
Large Language Models (LLMs) and Multimodal LLMs have shown promising capabilities for SVG processing, yet existing benchmarks suffer from limited real-world coverage, lack of complexity stratification, and fragmented ev…
BenchmarkingStyle TransferVector GraphicsReason-SVG: Hybrid Reward RL for Aha-Moments in Vector Graphics Generation
Generating high-quality Scalable Vector Graphics (SVGs) is challenging for Large Language Models (LLMs), as it requires advanced reasoning for structural validity, semantic faithfulness, and visual coherence -- capabilit…
Reinforcement Learning (RL)Vector GraphicsLayerPeeler: Autoregressive Peeling for Layer-wise Image Vectorization
Image vectorization is a powerful technique that converts raster images into vector graphics, enabling enhanced flexibility and interactivity. However, popular image vectorization tools struggle with occluded regions, pr…
DescriptiveVector GraphicsEmpowering Vector Graphics with Consistently Arbitrary Viewing and View-dependent Visibility
This work presents a novel text-to-vector graphics generation approach, Dream3DVG, allowing for arbitrary viewpoint viewing, progressive detail optimization, and view-dependent occlusion awareness. Our approach is a dual…
3DGSSchedulingVector GraphicsRendering-Aware Reinforcement Learning for Vector Graphics Generation
Scalable Vector Graphics (SVG) offer a powerful format for representing visual designs as interpretable code. Recent advances in vision-language models (VLMs) have enabled high-quality SVG generation by framing the probl…
Code Generationreinforcement-learningReinforcement LearningReinforcement Learning (RL)+1ViewCraft3D: High-Fidelity and View-Consistent 3D Vector Graphics Synthesis
3D vector graphics play a crucial role in various applications including 3D shape retrieval, conceptual design, and virtual reality interactions due to their ability to capture essential structural information with minim…
3D Shape RetrievalVector GraphicsStyle Customization of Text-to-Vector Generation with Image Diffusion Priors
Scalable Vector Graphics (SVGs) are highly favored by designers due to their resolution independence and well-organized layer structure. Although existing text-to-vector (T2V) generation methods can create SVGs from text…
Vector GraphicsOmniSVG: A Unified Scalable Vector Graphics Generation Model
Scalable Vector Graphics (SVG) is an important image format widely adopted in graphic design because of their resolution independence and editability. The study of generating high-quality SVG has continuously drawn atten…
modelVector GraphicsBézier Splatting for Fast and Differentiable Vector Graphics Rendering
Differentiable vector graphics (VGs) are widely used in image vectorization and vector synthesis, while existing representations are costly to optimize and struggle to achieve high-quality rendering results for high-reso…
Vector GraphicsBG-Triangle: Bézier Gaussian Triangle for 3D Vectorization and Rendering
Differentiable rendering enables efficient optimization by allowing gradients to be computed through the rendering process, facilitating 3D reconstruction, inverse rendering and neural scene representation learning. To e…
3DGS3D ReconstructionInverse RenderingRepresentation Learning+1From Text to Visuals: Using LLMs to Generate Math Diagrams with Vector Graphics
Advances in large language models (LLMs) offer new possibilities for enhancing math education by automating support for both teachers and students. While prior work has focused on generating math problems and high-qualit…
MathQuestion AnsweringVector GraphicsVisual Question AnsweringLeveraging Large Language Models For Scalable Vector Graphics Processing: A Review
In recent years, rapid advances in computer vision have significantly improved the processing and generation of raster images. However, vector graphics, which is essential in digital design, due to its scalability and ea…
Vector GraphicsNeural Network Modeling of Microstructure Complexity Using Digital Libraries
Microstructure evolution in matter is often modeled numerically using field or level-set solvers, mirroring the dual representation of spatiotemporal complexity in terms of pixel or voxel data, and geometrical forms in v…
Vector GraphicsNeuralSVG: An Implicit Representation for Text-to-Vector Generation
Vector graphics are essential in design, providing artists with a versatile medium for creating resolution-independent and highly editable visual content. Recent advancements in vision-language and diffusion models have …
Vector GraphicsBG-Triangle: Bezier Gaussian Triangle for 3D Vectorization and Rendering
Differentiable rendering enables efficient optimization by allowing gradients to be computed through the rendering process, facilitating 3D reconstruction, inverse rendering and neural scene representation learning. …
3DGS3D ReconstructionInverse RenderingRepresentation Learning+1From 2D CAD Drawings to 3D Parametric Models: A Vision-Language Approach
In this paper, we present CAD2Program, a new method for reconstructing 3D parametric models from 2D CAD drawings. Our proposed method is inspired by recent successes in vision-language models (VLMs), and departs from tra…
Vector GraphicsEmpowering LLMs to Understand and Generate Complex Vector Graphics
The unprecedented advancements in Large Language Models (LLMs) have profoundly impacted natural language processing but have yet to fully embrace the realm of scalable vector graphics (SVG) generation. While LLMs encode …
Instruction FollowingVector GraphicsSVGBuilder: Component-Based Colored SVG Generation with Text-Guided Autoregressive Transformers
Scalable Vector Graphics (SVG) are essential XML-based formats for versatile graphics, offering resolution independence and scalability. Unlike raster images, SVGs use geometric shapes and support interactivity, animatio…
Vector GraphicsSVGFusion: Scalable Text-to-SVG Generation via Vector Space Diffusion
In this work, we introduce SVGFusion, a Text-to-SVG model capable of scaling to real-world SVG data without relying on text-based discrete language models or prolonged Score Distillation Sampling (SDS) optimization. The …
Vector Graphics