llm4svg是一个创新项目，旨在利用大型语言模型（llm）来理解和生成复杂的矢量图形（svg）。 该项目通过将LLM技术应用于SVG领域，实现了从文本描述直接生成SVG图形，并能解 …

Our LLM4SVG is designed to: (a) Understand the semantics of SVG (Scalable Vector Graphics) source code and directly extract the meanings conveyed by vector images; (b) Generate …

2024年5月9日 · 方法：StarVector 是一种多模态SVG生成模型，它有效地集成了代码生成大型语言模型（CodeLLMs）和视觉模型。 从以下对比中可以看出， StarVector 和 GPT-4 V 有类似的 …

2023年6月9日 · To enable the LLM to process images, we convert them into a representation given by Scalable Vector Graphics (SVG). To study what the LLM can do with this XML-based …

2024年12月15日 · LLM4SVG facilitates a deeper understanding of SVG components through learnable semantic tokens, which precisely encode these tokens and their corresponding …

2024年5月8日 · 研究目标 ：提出一种多模态大型语言模型（mllm），能够直接从图像和文本指令生成可缩放矢量图形代码（svg），在图像矢量化和文本驱动的 svg 生成任务中实现更优性能。

To address these challenges, we introduce Chat2SVG, a hybrid framework that combines the strengths of Large Language Models (LLMs) and image diffusion models for text-to-SVG …

LLM4SVG facilitates a deeper understanding of SVG components through learnable semantic tokens, which precisely encode these tokens and their corresponding properties to generate …

Introducing LLM4SVG: Advancing LLM Capabilities for SVG Understanding and Generation. We present LLM4SVG, a pioneering model designed to bridge the gap in SVG generation within …

This repository contains the dataset used for the "SVGEditBench: A Benchmark Dataset for Quantitative Assessment of LLM's SVG Editing Capabilities" paper (CVF, arXiv). The paper …