AI RESEARCH
ViDiC: Video Difference Captioning
arXiv CS.CV
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ArXi:2512.03405v3 Announce Type: replace Understanding visual differences between dynamic scenes requires the comparative perception of compositional, spatial, and temporal changes--a capability that remains underexplored in existing vision-language systems. While prior work on Image Difference Captioning (IDC) has enabled models to describe semantic changes between static images, these approaches fail to capture motion continuity, event evolution, or editing consistency over time. We