aiqbench analysis
This research introduces MINARD, a novel pipeline capable of generating narrated video walkthroughs grounded in specific regions of scientific figures using their source papers as context. By addressing the current inability of AI systems to provide step-by-step visual explanations aligned with complex data pipelines, this work advances multimodal interpretation for technical documentation and education. The release of the FigTalk benchmark further establishes new metrics for evaluating sequential grounding capabilities in figure-to-video generation tasks.
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 and sequentially grounds them to figure regions. We also release FigTalk, a benchmark with new sequential and component-level grounding metrics derived. On FigTalk, MINARD generates humanlike, paper-faithful narrations and outperforms narration-conditioned figure spatial grounding compared to existing approaches in both automatic and human evaluation
Title:Helping Figures Tell their Story! Paper-Grounded Video Generation Explaining Complex Scientific Figures
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 and sequentially grounds them to figure regions. We also release FigTalk, a benchmark with new sequential and component-level grounding metrics derived. On FigTalk, MINARD generates humanlike, paper-faithful narrations and outperforms narration-conditioned figure spatial grounding compared to existing approaches in both automatic and human evaluation
Computation and Language (cs.CL)
arXiv:2606.12576 [cs.CL]
(or arXiv:2606.12576v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2606.12576 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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