Helping Figures Tell their Story! Paper-Grounded Video Generation Explaining Complex Scientific Figures
arXiv:2606.12576v1 Announce Type: new Abstract: Scientific figures compress complex pipelines into a single canvas, yet understanding them requires paper-grounded, step-by-step narration aligned with visual highlights a capability missing from current video generation systems and benchmarks. To address this, we introduce paper-grounded figure-to-video generation: generating narrated, region-grounded walkthrough videos from a figure and its paper. We propose MINARD (Multimodal Interpretation of Narrated Architecture via Region Decomposition), a pipeline that generates paper-grounded narrations
The proliferation of complex AI research and the need for more accessible scientific communication drives the demand for automated explanation tools.
This development represents a significant step towards AI systems that can not only generate content but also understand and explain complex information to human users, impacting scientific discourse and education.
AI-driven explanations of scientific figures, previously a manual and time-consuming process, can now be automated and standardized, increasing research dissemination efficiency.
- · AI researchers
- · Scientific publishers
- · Educational technology
- · Technical communicators
- · Manual scientific explanation services
Automated generation of video explanations for scientific papers will become a standard feature in research dissemination.
This could accelerate the pace of scientific discovery by making complex research more quickly understandable to a wider audience.
The ability of AI to interpret and explain complex visual data could lead to new forms of scientific collaboration and interdisciplinary understanding.
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Read at arXiv cs.CL