FigAct: Turning Scientific Figures into Active Canvases for Explanation
cs.AI
Submitted: 2026-09-28
Updated: 2026-09-28
Sources
- VFIG: Vectorizing Complex Figures in SVG with Vision-Language Models
- OpusAnimation: Code-Based Dynamic Chart Generation
- ShowUI: One Vision-Language-Action Model for GUI Visual Agent
- GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
- Figures as Programs: Recursive Generation of Editable Scientific Figures
- Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents
- GeoTikzBridge: Advancing Multimodal Code Generation for Geometric Perception and Reasoning
- Qwen3 Technical Report
- InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
- Visually Descriptive Language Model for Vector Graphics Reasoning
- Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
- Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs
- Paper2Video: Automatic Video Generation from Scientific Papers
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