SVGen: Interpretable Vector Graphics Generation with Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Feiyu, Zhao, Zhiyuan, Liu, Yuandong, Zhang, Da, Gao, Junyu, Sun, Hao, Li, Xuelong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation
by: Li, Bingyu, et al.
Published: (2024)
by: Li, Bingyu, et al.
Published: (2024)
Quantum-inspired Interpretable Deep Learning Architecture for Text Sentiment Analysis
by: Li, Bingyu, et al.
Published: (2024)
by: Li, Bingyu, et al.
Published: (2024)
VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation
by: Zou, Bocheng, et al.
Published: (2024)
by: Zou, Bocheng, et al.
Published: (2024)
UWBench: A Comprehensive Vision-Language Benchmark for Underwater Understanding
by: Zhang, Da, et al.
Published: (2025)
by: Zhang, Da, et al.
Published: (2025)
Symbolic Graphics Programming with Large Language Models
by: Chen, Yamei, et al.
Published: (2025)
by: Chen, Yamei, et al.
Published: (2025)
MARIS: Marine Open-Vocabulary Instance Segmentation with Geometric Enhancement and Semantic Alignment
by: Li, Bingyu, et al.
Published: (2025)
by: Li, Bingyu, et al.
Published: (2025)
Concept-Centric Token Interpretation for Vector-Quantized Generative Models
by: Yang, Tianze, et al.
Published: (2025)
by: Yang, Tianze, et al.
Published: (2025)
Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation
by: Gao, Junyu, et al.
Published: (2024)
by: Gao, Junyu, et al.
Published: (2024)
U3M: Unbiased Multiscale Modal Fusion Model for Multimodal Semantic Segmentation
by: Li, Bingyu, et al.
Published: (2024)
by: Li, Bingyu, et al.
Published: (2024)
SVGFusion: A VAE-Diffusion Transformer for Vector Graphic Generation
by: Xing, Ximing, et al.
Published: (2024)
by: Xing, Ximing, et al.
Published: (2024)
From Captions to Rewards (CAREVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language Models
by: Dai, Muzhi, et al.
Published: (2025)
by: Dai, Muzhi, et al.
Published: (2025)
FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic Segmentation
by: Li, Bingyu, et al.
Published: (2025)
by: Li, Bingyu, et al.
Published: (2025)
Boosting Quantitive and Spatial Awareness for Zero-Shot Object Counting
by: Zhang, Da, et al.
Published: (2026)
by: Zhang, Da, et al.
Published: (2026)
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding
by: Cai, Mu, et al.
Published: (2023)
by: Cai, Mu, et al.
Published: (2023)
IntroSVG: Learning from Rendering Feedback for Text-to-SVG Generation via an Introspective Generator-Critic Framework
by: Wang, Feiyu, et al.
Published: (2026)
by: Wang, Feiyu, et al.
Published: (2026)
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models
by: Dai, Xuelong, et al.
Published: (2023)
by: Dai, Xuelong, et al.
Published: (2023)
MathSight: A Benchmark Exploring Have Vision-Language Models Really Seen in University-Level Mathematical Reasoning?
by: Wang, Yuandong, et al.
Published: (2025)
by: Wang, Yuandong, et al.
Published: (2025)
Prototype-Based Low Altitude UAV Semantic Segmentation
by: Zhang, Da, et al.
Published: (2026)
by: Zhang, Da, et al.
Published: (2026)
Towards Large-scale Chemical Reaction Image Parsing via a Multimodal Large Language Model
by: Chen, Yufan, et al.
Published: (2025)
by: Chen, Yufan, et al.
Published: (2025)
Can Large Language Models Understand Symbolic Graphics Programs?
by: Qiu, Zeju, et al.
Published: (2024)
by: Qiu, Zeju, et al.
Published: (2024)
Scale Efficient Training for Large Datasets
by: Zhou, Qing, et al.
Published: (2025)
by: Zhou, Qing, et al.
Published: (2025)
Exploring Efficient Open-Vocabulary Segmentation in the Remote Sensing
by: Li, Bingyu, et al.
Published: (2025)
by: Li, Bingyu, et al.
Published: (2025)
Exploring the Underwater World Segmentation without Extra Training
by: Li, Bingyu, et al.
Published: (2025)
by: Li, Bingyu, et al.
Published: (2025)
An Open-Source Benchmark and Baseline for Multi-temporal Referring Segmentation
by: Li, Bingyu, et al.
Published: (2026)
by: Li, Bingyu, et al.
Published: (2026)
Variational Positive-incentive Noise: How Noise Benefits Models
by: Zhang, Hongyuan, et al.
Published: (2023)
by: Zhang, Hongyuan, et al.
Published: (2023)
Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models
by: Wang, Ruiyu, et al.
Published: (2025)
by: Wang, Ruiyu, et al.
Published: (2025)
Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach
by: Chen, Chao, et al.
Published: (2023)
by: Chen, Chao, et al.
Published: (2023)
C3Box: A CLIP-based Class-Incremental Learning Toolbox
by: Sun, Hao, et al.
Published: (2026)
by: Sun, Hao, et al.
Published: (2026)
GRPO-RM: Fine-Tuning Representation Models via GRPO-Driven Reinforcement Learning
by: Xu, Yanchen, et al.
Published: (2025)
by: Xu, Yanchen, et al.
Published: (2025)
Towards Realistic Open-Vocabulary Remote Sensing Segmentation: Benchmark and Baseline
by: Li, Bingyu, et al.
Published: (2026)
by: Li, Bingyu, et al.
Published: (2026)
Interpretable Generative Models through Post-hoc Concept Bottlenecks
by: Kulkarni, Akshay, et al.
Published: (2025)
by: Kulkarni, Akshay, et al.
Published: (2025)
An Interpretable Evaluation of Entropy-based Novelty of Generative Models
by: Zhang, Jingwei, et al.
Published: (2024)
by: Zhang, Jingwei, et al.
Published: (2024)
LAKD-Activation Mapping Distillation Based on Local Learning
by: Zhang, Yaoze, et al.
Published: (2024)
by: Zhang, Yaoze, et al.
Published: (2024)
Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
by: He, Haoran, et al.
Published: (2024)
by: He, Haoran, et al.
Published: (2024)
Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning
by: Jiang, Kai, et al.
Published: (2025)
by: Jiang, Kai, et al.
Published: (2025)
Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation
by: Chang, Yingshan, et al.
Published: (2024)
by: Chang, Yingshan, et al.
Published: (2024)
Dream to Drive with Predictive Individual World Model
by: Gao, Yinfeng, et al.
Published: (2025)
by: Gao, Yinfeng, et al.
Published: (2025)
Model Predictive Simulation Using Structured Graphical Models and Transformers
by: Lou, Xinghua, et al.
Published: (2024)
by: Lou, Xinghua, et al.
Published: (2024)
Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few
by: Wen, Qishuai, et al.
Published: (2025)
by: Wen, Qishuai, et al.
Published: (2025)
Batch Loss Score for Dynamic Data Pruning
by: Zhou, Qing, et al.
Published: (2026)
by: Zhou, Qing, et al.
Published: (2026)
Similar Items
-
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation
by: Li, Bingyu, et al.
Published: (2024) -
Quantum-inspired Interpretable Deep Learning Architecture for Text Sentiment Analysis
by: Li, Bingyu, et al.
Published: (2024) -
VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation
by: Zou, Bocheng, et al.
Published: (2024) -
UWBench: A Comprehensive Vision-Language Benchmark for Underwater Understanding
by: Zhang, Da, et al.
Published: (2025) -
Symbolic Graphics Programming with Large Language Models
by: Chen, Yamei, et al.
Published: (2025)