Image de couverture de livre

OneChart: Purify the Chart Structural Extraction via One Auxiliary Token

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Jinyue, Kong, Lingyu, Wei, Haoran, Liu, Chenglong, Ge, Zheng, Zhao, Liang, Sun, Jianjian, Han, Chunrui, Zhang, Xiangyu
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Focus Anywhere for Fine-grained Multi-page Document Understanding
par: Liu, Chenglong, et autres
Publié: (2024)

Small Language Model Meets with Reinforced Vision Vocabulary
par: Wei, Haoran, et autres
Publié: (2024)

General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
par: Wei, Haoran, et autres
Publié: (2024)

TinyChart: Efficient Chart Understanding with Visual Token Merging and Program-of-Thoughts Learning
par: Zhang, Liang, et autres
Publié: (2024)

MSG-Chart: Multimodal Scene Graph for ChartQA
par: Dai, Yue, et autres
Publié: (2024)

ChartZero: Synthetic Priors Enable Zero Shot Chart Data Extraction
par: Islam, Md Touhidul, et autres
Publié: (2026)

ChartEye: A Deep Learning Framework for Chart Information Extraction
par: Mustafa, Osama, et autres
Publié: (2024)

DreamLLM: Synergistic Multimodal Comprehension and Creation
par: Dong, Runpei, et autres
Publié: (2023)

Exploring Recurrent Long-term Temporal Fusion for Multi-view 3D Perception
par: Han, Chunrui, et autres
Publié: (2023)

Charts Are Not Images: On the Challenges of Scientific Chart Editing
par: Li, Shawn, et autres
Publié: (2025)

Improved Iterative Refinement for Chart-to-Code Generation via Structured Instruction
par: Xu, Chengzhi, et autres
Publié: (2025)

Perception-R1: Pioneering Perception Policy with Reinforcement Learning
par: Yu, En, et autres
Publié: (2025)

Chart Specification: Structural Representations for Incentivizing VLM Reasoning in Chart-to-Code Generation
par: He, Minggui, et autres
Publié: (2026)

ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding
par: Huang, Muye, et autres
Publié: (2025)

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch
par: Liu, Zheng, et autres
Publié: (2026)

ChartM$^3$: Benchmarking Chart Editing with Multimodal Instructions
par: Yang, Donglu, et autres
Publié: (2025)

Slow Perception: Let's Perceive Geometric Figures Step-by-step
par: Wei, Haoran, et autres
Publié: (2024)

One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory
par: Zheng, Chenhao, et autres
Publié: (2025)

ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning
par: Meng, Fanqing, et autres
Publié: (2024)

ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation
par: Kondic, Jovana, et autres
Publié: (2025)

ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning
par: Xia, Renqiu, et autres
Publié: (2024)

Chart-FR1: Visual Focus-Driven Fine-Grained Reasoning on Dense Charts
par: Pan, Hongkun, et autres
Publié: (2026)

ChartAct: A Benchmark for Dynamic Chart Understanding
par: Huang, Muye, et autres
Publié: (2026)

FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models
par: Shu, Dong, et autres
Publié: (2025)

CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
par: Wang, Zirui, et autres
Publié: (2024)

ChartE$^{3}$: A Comprehensive Benchmark for End-to-End Chart Editing
par: Li, Shuo, et autres
Publié: (2026)

ChartAB: A Benchmark for Chart Grounding & Dense Alignment
par: Bansal, Aniruddh, et autres
Publié: (2025)

ChartQA-X: Generating Explanations for Visual Chart Reasoning
par: Hegde, Shamanthak, et autres
Publié: (2025)

ChartBench: A Benchmark for Complex Visual Reasoning in Charts
par: Xu, Zhengzhuo, et autres
Publié: (2023)

StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding
par: Xia, Renqiu, et autres
Publié: (2023)

ChartReformer: Natural Language-Driven Chart Image Editing
par: Yan, Pengyu, et autres
Publié: (2024)

Chart-R1: Chain-of-Thought Supervision and Reinforcement for Advanced Chart Reasoner
par: Chen, Lei, et autres
Publié: (2025)

ChartCap: Mitigating Hallucination of Dense Chart Captioning
par: Lim, Junyoung, et autres
Publié: (2025)

VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning
par: Huang, Muye, et autres
Publié: (2024)

Socratic Chart: Cooperating Multiple Agents for Robust SVG Chart Understanding
par: Ji, Yuyang, et autres
Publié: (2025)

AskChart: Universal Chart Understanding through Textual Enhancement
par: Yang, Xudong, et autres
Publié: (2024)

ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation
par: Li, Zhen, et autres
Publié: (2025)

EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding
par: Huang, Muye, et autres
Publié: (2024)

Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations
par: Ford, James, et autres
Publié: (2024)

Breaking the SFT Plateau: Multimodal Structured Reinforcement Learning for Chart-to-Code Generation
par: Chen, Lei, et autres
Publié: (2025)