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Dataset · Hugging Face

NJU-LINK/ViDiC-1K

ViDiC: Video Difference Captioning 📋 Abstract 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… See the full description on the dataset page: https://huggingface.co/datasets/NJU-LINK/ViDiC-1K.

Author / organizationNJU-LINK
License (as declared)cc-by-nc-sa-4.0
Downloads203 (as reported by Hugging Face)
Likes5
Created1 December 2025
Last updated at source9 May 2026
datasets
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  • 16 Oct 2026 Description: ViDiC: Video Difference Captioning 📋 Abstract Understanding visual differences between dynamic scenes requires the comparative perception of compositional, spatial, and temporal changes—a capability that remains underexplored in existing v → ViDiC: Video Difference Captioning 📋 Abstract Understanding visual differences between dynamic scenes requires the comparative perception of compositional, spatial, and temporal changes—a capability that remains underexplored in existing v

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