arxiv
PublishedJune 30, 2026 at 4:00 AM
—neutral
Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation
Publisher summary· verbatim
arXiv:2606.28593v1 Announce Type: cross Abstract: While recent vision-language models (VLMs) have achieved significant improvements on static visual-to-code tasks such as generating code for webpages, charts, or SVGs, it remains unclear whether they can recover temporal dynamics when motion is prese
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSciReC: Diagnostic Evaluation of Multimodal, Multi-Turn Relational Reasoning with Adaptive Interaction19harxivUIC-AIHealth4All at ArchEHR-QA 2026: Answer-First Evidence Grounding for Clinical Question Answering19harxivSelect, Don't Train: The Benefits of Modular Entity Disambiguation with LLM-Based Selection19harxivINSPIRE: An Internalize-Then-Improve Approach for Example-Driven Mathematical Reasoning19hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗